Browse Topic: Environmental protection

Items (1,691)
Sound source localization is a fundamental capability for environmental awareness in a wide range of applications, including automotive or automated vehicles. Microphone-array-based signal processing techniques are widely used for this task. However, achieving sufficient localization accuracy often requires a large number of microphones and wide array apertures, which can be incompatible with limited installation space and cost constraints. Moreover, standard array-processing methods often rely on free-field transfer functions. In environments with reflections, diffraction, and scattering, particularly under non-line-of-sight conditions, this mismatch can degrade both accuracy and interpretability. This paper presents a methodology for sound source localization in partially known environments that addresses these challenges by combining two ideas. First, the method reduces sensor requirements by exploiting sequential pressure measurements acquired at different spatial locations along a moving receiver trajectory. Second, environmental effects are incorporated through an approximate acoustic model derived from rough geometric cues assumed to be retrievable from visual sensing modalities. Geometric and acoustic parameters are treated as unknowns and estimated jointly with the source location, reducing the need for precise prior environmental knowledge. Numerical simulations validate the approach in two representative scenarios: (i) a single source in the presence of a wall with unknown absorbing properties and unknown distance, and (ii) a T-junction configuration where the source is not in direct line of sight. The case studies establish proof-of-concept feasibility and highlight the potential of jointly leveraging single or dual sequential measurements and approximate environmental information while maintaining low modeling and computational complexity.
Pirro, Giovanni BattistaNijman, EugeneDeckers, ElkeDenayer, Hervé
Knowing a detailed operating cycle is critical for developing and testing equipment. Operating cycles can be separated by two clear distinctions: (1) regulatory or non-regulatory and (2) application at the engine-only or full machine level. The Environmental Protection Agency’s (EPA) Nonroad Transient Cycle (NRTC) may be a good representation of engine use in many types of equipment, but there is a gap in standardized and validated drive cycles specifically for nonroad material handlers. Lacking a standardized drive cycle makes it difficult to accurately benchmark machine performance and validate new powertrain technologies. The objective of this investigation is to illustrate the development of a custom drive cycle augmented with real-world customer use data that serves multiple purposes: (1) understand the range of operation and utilization that formulated inputs for electrified architecture analysis and (2) develop a repetitive and consistent maneuver to establish baseline energy consumption enabling equivalent comparison to future electrified prototype builds. This article presents a solution specifically for a 23-ton nonroad material handler in which material handling, machine transport, and extended idle were homologated to form representative short cycles defined by machine velocity and hydraulic cylinder position. The most intensive material handling short cycles had a load factor of 40% and an average fuel rate of 16 L/h. Combined with a visual aid, the short cycles exhibited low variability, having less than 5% root mean square (RMS) error in lift and reach position with respect to the average. The machine’s performance on these short cycles at the Advanced Power Systems Research Center (APSRC) was compared to results from two real-world customer locations operating the instrumented test machine in a cyclical manner, and for similar ground conditions were found to be comparable in fuel consumption.
Czarnecki, AlexanderGoodenough, BryantWorm, JeremyRobinette, DarrellLaTendresse, PhilWestman, John
Regulators and policymakers have introduced increasingly stringent limits on tailpipe CO₂ and pollutant emissions to accelerate the decarbonization of heavy-duty vehicle applications. The development of innovative propulsion technologies — such as advanced combustion systems, low-friction reciprocating components, and improved aftertreatment solutions — combined with hybridization and the adoption of alternative fuels (e.g., biogas, HVO, green hydrogen), is a key pathway for meeting future emission and GHG targets. In this study, advanced combustion systems were developed for a 13-liter diesel engine for heavy-duty truck applications, with the objective of meeting forthcoming Euro VII regulations while maximizing thermal efficiency. The combustion system architecture—including open-bowl geometry with high aspect ratio, injector nozzle with wider spray opening angle, and reduced swirl ratio—was optimized using a Machine Learning–algorithm trained on high-fidelity 3D CFD combustion data. The method enabled the identification of two optimized combustion-system “recipes”, one of which was evaluated through engine tests, which refined nozzle specifications and injection strategies, using a structured Design of Experiments (DoE) approach. Results were benchmarked against a MY24 baseline combustion system, assessing efficiency, NOx–soot trade-offs, and combustion behaviors. Based on 3D-CFD results, the advanced combustion concept achieved an improvement in Brake Thermal Efficiency (BTE) of up to +0.8% points and delivered substantial NOx reductions of up to 45%, while maintaining smoke emissions at or below baseline levels. The experimental results indicate that the advanced combustion system developments designed for next-generation heavy-duty engines can further increase BTE by up to ~1% relative to the baseline combustion system, without deteriorating the soot–NOx trade-off.
Belgiorno, GiacomoCentini, Maria PiaPezza, VincenzoCozza, Ivan F.Pesce, Francesco C.Vassallo, AlbertoColombo, GiovanniGallo, AlessandroMirzaeian, MohsenBorg, Jonathan
Vehicle fleet decarbonization is a key objective for the coming years, with electrification representing the primary pathway to achieving the targets set by the European Union. The share of battery electric trucks in new registrations has been gradually increasing especially in light and medium size trucks. The replacement rate of diesel long-haul trucks with zero emission trucks is still low due to challenges posed by added complexity and limitations of battery charging. Depot overnight charging is not sufficient to cover the energy needs of a truck covering large distances and careful planning of the route using public charging infrastructure is crucial for an optimized route minimizing extra costs and range anxiety. The current work aims to develop a methodology to propose the optimal charging locations for a given route of a battery electric truck based on nearby stations along the route. Our study uses an open-source optimization algorithm for the fixed route vehicle charging problem coupled with a powertrain simulation model that is used to calculate the energy consumption and the electric range of the vehicles. A variety of constraints, such as initial State of Charge, lowest allowed State of Charge threshold, maximum trip duration, distance deviation, have been implemented in different scenarios from real world locations with a goal to investigate the impact of planning constraints and charging infrastructure in the optimal planning of electric truck routing. The results of our analysis indicate that the integration of an accurate energy consumption calculation model to a route and charging optimisation algorithm can be proven beneficial for minimizing the time penalty due to charging.
Perdikopoulos, MichailDoulgeris, StylianosLivitsanos, GeorgiosKazakis, ThomasMellios, GiorgosNtziachristos, Leonidas
With the United Kingdom’s goal to achieve a fully decarbonised energy sector by 2035 and achieve net zero greenhouse gas emissions by 2050, the transition of the UK’s passenger car fleet to battery electric vehicles (BEVs) plays a crucial role in reaching this goal. This study evaluates the environmental and energy impact of large-scale BEV adoption by modelling future uptake scenarios using historical fleet data combined with assumed impact of future policy such as the 2030 ban on the sale of new petrol and diesel vehicles. Three predictive models have been developed: fast uptake, in which approximately 100% of the passenger car fleet is replaced by BEVs; moderate uptake, where a large majority of passenger cars are BEVs; and slow uptake, in which BEV adoption does not reach a majority. The results have shown that, if a medium- or large-scale adoption is possible by 2040 predicting nearly 37 million BEVs on the road, the associated electricity demand is predicted to rise close to 110 TWh annually, signifying the need for rapid development in renewable energy generation. Although BEVs significantly reduce transport sector emissions, the overall climate impact is dependent on a continued effort of grid decarbonisation.
Burke, BradleyKateregga, SunnySodre, Jose Ricardo
As the automotive industry faces increasingly rigorous environmental regulations and an approaching obligation for Digital Product Passports (DPPs), incorporating sustainability metrics into the early design phase has become a necessity. Traditionally, Life Cycle Assessment (LCA) and manufacturing cost estimation are performed during or after the design phase using specific methods and tools, resulting in costly iterations and delayed decision-making. This paper introduces a preliminary computational tool that combines 3D CAD and spreadsheet software via VBA integration. The framework automates the generation of an “Extended Bill of Materials” by extracting geometric and manufacturing data directly from CAD models. This tool’s classification logic is a key innovation that intelligently processes CAD features to identify component categories, such as sheet metal, machined parts, or plastic injections. This automated recognition allows the framework to implement specific algorithmic models for the preliminary estimation of production costs and environmental impact indicators. The gap between computer-aided design and sustainability analysis is partially bridged by the tool, enabling engineers to receive immediate feedback on the carbon footprint and recyclability of their designs during the early conceptual stage. Preliminary testing within automotive case studies shows a substantial decrease in lead times for technical estimation. Specifically, analysis time was reduced by at least 90%, with subsystems processed in under 10 minutes, a significant improvement over traditional manual calculations. This tool represents a pragmatic step toward “Circular Design” paradigms, supporting compliance with future legislative frameworks and fostering the transition toward a circular economy in transportation systems.
Guadagno, MaurizioCecconi, LeonardoBerzi, LorenzoDelogu, Massimo
Circular-economy principles are increasingly central to aerospace sustainability strategies, aiming to extend asset life, improve asset valuations, and enhance benefits to stakeholders in the part ownership and maintenance lifecycle. In aircraft engines, achieving circularity hinges on safe reuse, repair, and recirculation of high-value components. Life-Limited Parts (LLPs) are among the most critical in this context, but their reuse is strictly contingent on complete Back-to-Birth (BtB) traceability. Any gap in BtB records—often due to fragmented data across multiple airline operators, shop visits, document formats, and time expanse—renders otherwise serviceable LLPs unusable, leading to premature scrappage and lost circular value. This paper presents a Generative AI (GenAI)-driven methodology to reconstruct and validate complete LLP BtB histories from heterogeneous, unstructured, and legacy maintenance datasets. By combining aerospace domain-trained language models with embedded life accounting logic and regulatory compliance reasoning, the approach produces audit-ready documentation that assists the asset owners in meeting regulatory standards from aviation authorities such as EASA and FAA. Enhancing traceability to LLPs enables their safe re-entry into operational service, supports the module swaps market, and optimizes part pooling strategies. The result is a digital enabler for circularity in the engine lifecycle—preserving material value and maintaining uncompromised safety and compliance in aviation.
Bhate, UjwalJain, Dilip KumarKulkarni, NinadKalaiyarasan, AravindhJha, AshishShenoy, Karthik
Though the U.S. EPA has rolled back many emissions regulations surrounding the mobility industry, its HD rules remain intact, meaning manufacturers must hit the world's most stringent NOx requirement. It was clear at a panel of industry experts that the new rule was still causing confusion among operators and fleet owners. The EPA's new limits are set at 0.035 grams per horsepower-hour during normal operation, 0.050 grams at low load and 10.0 grams at idle. A panel immediately following revealed how companies have hit the tough target, which goes into effect in January of 2027.
Clonts, Chris
This study focuses on the engineering application and performance evaluation of shipboard carbon capture systems. A process combining amine absorption and membrane separation was constructed, and the combined process was applied to a typical 7000 TEU container ship. After sea trials, the average carbon dioxide capture efficiency achieved by the system exceeded 87%, and the power consumption was maintained within an acceptable range. The integrated system greatly improved the EEXI and CII index levels and verified its economic feasibility in the medium and high carbon price scenario. The payback period of the investment costs was reduced to five years. After port coordination tests, the operability of ship-shore carbon dioxide transfer was verified, which promoted future scalability. The engineering layout, energy recovery design, and operation data worked together to provide a practical solution for maritime decarbonization. This study provides a valuable technical reference for the implementation of the International Maritime Organization (IMO) carbon reduction strategy, and also lays a solid foundation for subsequent legislation and system standardization.
Yang, Yongjian
As the global pursuit of carbon neutrality accelerates, carbon capture, utilization, and storage (CCUS) technology is emerging as a critical strategic pillar for achieving significant emission reductions and facilitating the transition to green development. This review systematically summarizes the principal technological pathways and recent advances in carbon capture, resource utilization, and storage within CCUS systems, with particular attention to innovative directions including advanced adsorption and separation materials, synergistic catalytic conversion, biological carbon sequestration, and mineralization-based storage. By examining representative engineering practices and industrialization cases both domestically and internationally, this paper summarizes the major challenges currently facing CCUS, including material costs, energy consumption, environmental risks, and large-scale deployment. The positive impacts of interdisciplinary integration, process system optimization, and policy coordination on the commercialization of CCUS are also discussed. The review indicates that overcoming bottlenecks in core materials and process technologies, improving regulatory frameworks and market mechanisms, and establishing clustered industrial ecosystems are essential for CCUS to spearhead the forthcoming low-carbon energy and green industrial revolutions. This paper envisions future development trends for CCUS technology, highlights its multidimensional strategic value for global carbon governance, energy security, and the circular economy, and offers theoretical references and cutting-edge insights for scientific research, policy formulation, and industrial decision-making in related fields.
Wang, Yingfei
Bird accidental collision with overhead transmission lines poses a threat to the ecology of rare bird populations. This article analyzes the warning measures to prevent birds from accidental collisions at home and abroad. In response to the low efficiency of manual installation and the poor static warning effect in preventing birds from accidental collisions with overhead transmission lines, the visual characteristics of birds are analyzed. A drone-based automatic installation flash-type bird accidental collision warning device is proposed, which includes a fixture, a disc, and a luminous circuit. The fixture can be carried and installed on the overhead line by a drone and can be easily disassembled. The disc adopts eye-catching colors and has a hollow structure to reduce wind resistance load. The luminous circuit includes solar panels, charge and discharge control circuits, flicker control circuits, batteries, and luminous components. The drone suspension warning device test was conducted, and the results showed that the device can be easily suspended from the overhead line by the drone.
Wang, JianWang, XiulongLiu, BinLi, DanyuXu, Xunjian
Stricter environmental legislation is driving ever-more-demanding performance targets for gasoline particulate filters (GPFs). This study constructs a multi-scale filtration model based on fractal characteristics, taking into account particle size distribution and particle deposition, to investigate the influence of the microstructure of porous media on GPF performance and analyze the impact of structural parameters on capture efficiency and pressure drop. The results show that: (1) Increasing the wall thickness can improve the capture efficiency and pressure drop, and a thicker wall has a stronger inertial interception capacity for larger particles. (2) A reduction in porosity markedly alters both filtration efficacy and flow pressure drop. For particles in the intermediate size range (0.1-0.5 μm), the capture efficiency of a low-porosity structure is more sensitive to the diffusion deposition of small particles, while the inertial collision efficiency of large particles is higher. (3) Shrinking the pore size markedly enhances capture efficiency while simultaneously increasing pressure drop; the finer pore network markedly improves the retention of sub-micron particles, but the passage restriction of large particles is more obvious.
Xiong, XianyangQing, ZeZhang, JianLi, Ting
In the context of the global active response to climate change and the strong advocacy of green development, China’s energy industry is demonstrating a steadfast commitment to low-carbon transformation. In this process, green power trading has gained significant development by virtue of its unique advantages and potential. In this process, green power trading has gained significant development by virtue of its unique advantages and potential. The core objective of the Pinglu Canal Project, a pivotal initiative promoting green and low-carbon development in the region, is to establish a “net-zero carbon” initiative by facilitating the supply of green energy throughout its entire life cycle. This initiative is designed to promote a green and low-carbon transition. This paper conducts an in-depth study on the green power supply path during the construction period of the Pinglu Canal project, and proposes four practicable options. In order to scientifically and objectively determine the optimal path, this paper constructs a comprehensive evaluation index system and a TOPSIS evaluation method based on comprehensive weights. The system encompasses the four dimensions of feasibility, economy, technology, and demonstration, enabling a comprehensive and precise evaluation of the advantages and disadvantages of each path. The findings of the empirical analysis demonstrate that the combined scores of Path 1 (participation in green power trading), Path 2 (purchase of thermal power with green certificates), Path 3 (rooftop distributed photovoltaic system and purchase of new energy power), and Path 4 (rooftop distributed PV system and purchase of thermal power with green certificates) are 0.8166, 0.7486, 0.2197, and 0.2885, respectively. The comparative analysis reveals that participation in green power trading is the optimal strategy for the project’s construction period.
Huang, ZeyiWei, YuchenLi, XiayangWang, Cuixian
The decarbonization of heavy-duty trucks (HDTs) is a crucial path for China to achieve its “dual-carbon” goals and transition to decarbonized freight transport. Zero-carbon fuels are key alternatives to fossil fuels for these high-emission vehicles. This study develops an integrated scenario analysis framework to quantify the theoretical CO₂e emission trajectories of China’s long-haul HDT fleet from 2020 to 2060. Functioning as a macro-level stress test, the model derives theoretical equivalent stock from anticipated logistics turnover demand, integrating them with well-to-wheel (WTW) emission factors under six distinct policy stringencies (Projects 1 through 6), representing varying paces of fossil fuel vehicle phase-out. The results demonstrate that policy stringency primarily governs the timing and depth of emission reductions, while fuel technology defines the minimum achievable emission level. Three-dimensional visualization analysis reveals a nonlinear “emission cliff” under aggressive policies, marked by accelerated HDT fleet renewal and exponentially growing mitigation benefits. This cliff is more pronounced for the green hydrogen pathway and demonstrates its superior potential for deep decarbonization. In Project 1, CO₂e emissions reach a mid-term peak in 2035. Compared to the diesel baseline, the green hydrogen and green ammonia transition pathways reduce peak CO₂e emissions by 158 and 137 million tons, corresponding to reductions of 10.0% and 8.6%, respectively, under the modeled theoretical boundaries. In contrast, the aggressive Project 6 policy suppresses this peak, triggers the “cliff” effect much earlier, and achieves an extremely low stabilization level by 2040—15 years ahead of Project 1. This study provides a macro-theoretical quantitative decision-support tool for policymakers. It demonstrates that transparent and aggressive phase-out policies are essential to accelerate fleet turnover, trigger the “emission cliff,” and firmly cap total cumulative emissions.
Wu, YunmeiHuang, HuaLi, RuiHe, GuijiaLiu, BoLiu, RuoweiXie, Yongliang
To address the growing demand for waste management, improve the efficiency and accuracy of waste classification, reduce costs, promote environmental protection and circular economy development, and solve environmental pollution and resource waste problems through technological innovation. This paper proposes an intelligent mobile waste classification and collection robot system. The system consists of a picking mechanical arm subsystem, a waste classification and collection subsystem, a self-moving chassis subsystem, and a solar tracking power generation subsystem. The picking mechanical arm subsystem actively collects waste through a mechanical arm combined with machine vision technology and deposits it into the waste classification device, while the waste classification and collection subsystem completes functions such as classification, compression, collection, and dumping, utilizing a navigation and positioning-driven chassis to achieve autonomous waste collection, simultaneously employing an AI (Artificial Intelligence) interactive voice broadcast device for waste classification promotion. The operation and control of each subsystem are fed back to the client through remote network connection devices, achieving “unified network management.”
Xia, YingZhu, HuabingJia, RuitongHe, YifanHou, WentaoFu, ShaozaoLin, Jiaoyang
This study experimentally investigates the combined effects of exhaust gas recirculation (EGR) and injection timing on the combustion and emission characteristics of a hydrogen direct injection engine. A single-cylinder 395 cc research engine was used, with injection timing varied from 60° to 180° BTDC and EGR rates from 0% to 30%. In-cylinder pressure, apparent heat release rate (AHRR), NOx, and unburned hydrogen concentrations were measured to analyze the influence of mixture formation and dilution on engine performance. Under non-EGR conditions, retarding the injection timing promoted mixture stratification, resulting in faster flame propagation and shorter combustion duration. However, localized high-temperature regions increased NOx formation, while incomplete combustion in lean or rich zones elevated unburned hydrogen emissions. When EGR was introduced, both ignition delay and combustion duration increased due to reduced oxygen concentration and thermal dilution. Nevertheless, the net indicated mean effective pressure (nIMEP) and indicated thermal efficiency (ITE) decreased by less than 1.6% and 1%, respectively, demonstrating that hydrogen’s fast combustion characteristics compensated for the reactivity loss. As the EGR rate increased, the formation of NOx and the emission of unburned hydrogen showed noticeable changes. At 30% EGR, NOx emissions decreased by up to 76% compared to the non-EGR baseline while maintaining stable combustion. However, excessive EGR resulted in increased unburned hydrogen emissions. These findings confirm that, with a properly optimized EGR rate, EGR is a more effective strategy than injection timing control for NOx reduction, achieving significant reduction with minimal efficiency penalty, and providing design insights for practical hydrogen-fueled engines.
Yang, HeetaeKi, YoungminKim, Jungho JustinKim, JinsuBae, ChoongsikHwang, Joonsik
Accurate torque-trace reproduction on regulatory drive cycles is central to heavy-duty diesel certification and development testing. Conventional controllers such as Proportional Integral Derivative (PID or PI) can be enhanced with gain scheduling and feedforward (FF) maps to satisfy requirements but require extensive calibration and are sensitive to nonlinearities and delay. This paper evaluates a data-driven control framework comprising a recurrent neural surrogate of engine torque (specifically an LSTM – long short-term memory) trained on engine/dynamometer data and a reinforcement learning (RL) policy trained using this surrogate (“world model”) to track requested torque while regularizing control effort. The RL policy (specifically TD3 – twin delayed deep deterministic) is benchmarked against tuned PID and PID+FF baselines on the Environmental Protection Agency’s Heavy Duty Federal Test Procedure (HD-FTP) segments using EPA regression criteria (slope, |intercept|, R2) and tracking metrics (mean absolute error - MAE, root mean square error - RMSE). TD3 reduced mean absolute error (MAE) by 58% (from 91.34 to 38.69 N·m) and root mean square error (RMSE) by 54% (from 123.5 to 56.73 N·m), improved regression to slope = .9978, |intercept| = 7.13 N·m, R2 = .9844, and cut the 95th-percentile absolute error by 60% compared to the PID+FF controller (the next best performing controller – in all categories). Results show the RL controller improves responsiveness and accuracy relative to autotuned PID+FF on the surrogate model, while reducing manual calibration effort. The approach is modular and engine-agnostic (retrain surrogate and policy) and is amenable to multi-objective extensions that incorporate emissions proxies in the reward.
Cook, JamesPuzinauskas, PauliusBittle, JoshuaHall, Spencer
At the U.S. Environmental Protection Agency’s National Vehicle and Fuel Emissions Laboratory, a development project was implemented to compare various test methods for benchmarking the operation of vehicle electric drive units (EDUs). In earlier research, several test methods were identified, of which two were used to test a Chevrolet Bolt EDU: (a) in-vehicle testing of the complete EDU on a chassis hub dynamometer and (b) stand-alone testing of the EDU’s electric motor and inverter in a dedicated test cell after removal from the vehicle. The resulting data sets were compared with each other and with similar data previously published by GM. In this paper, additional EDU test methods are explored. First, the stand-alone testing of the EDU and its subcomponents is expanded to include testing both with and without the EDU gearing. This testing allows the electric motor, inverter, and gearbox to be characterized separately and the EDU to be characterized as a complete unit. Second, in-vehicle testing of the complete EDU is performed on a roll dynamometer. EDU efficiency and losses are determined using data obtained from wheel hub torque sensors; these results are compared to estimated values based on the force and speed data collected by the roll dynamometer. Finally, the relative difficulty of implementation and the robustness of the resulting data for each of the benchmarking methods developed is analyzed and compared to methods developed and described in earlier research. Metrics used for comparison include the cost and level of effort of the implementation, complexity of the setup, repeatability of the test conditions, safety considerations, ability to separate EDU components, completeness of the data set produced, and the variability, quality and accuracy of the resulting data.
Moskalik, AndrewSchauer, EthanBarba, Daniel
To mitigate global warming, many countries are working toward carbon neutrality. Reducing CO₂ emissions from vehicles requires electrification technologies in hybrid and plug-in hybrid electric vehicles (HEVs, PHEVs) and improving thermal efficiency of internal combustion engines (ICEs). Lean-burn combustion is one approach to improving ICE thermal efficiency. Biofuels and synthetic fuels can also reduce CO₂ emissions in existing vehicles. Ethanol, a bio-derived fuel, is widely used in varying contents worldwide, and its further utilization is anticipated. This study examines the effects of ethanol blending on emissions, thermal efficiency, knocking, and combustion speed in a super-lean-burn engine. Gasoline surrogates with varying ethanol contents were tested at an excess air ratio (λ) of 2.5. Higher ethanol content reduced nitrogen oxides (NOx) emissions due to lower adiabatic flame temperature. Total hydrocarbon (THC) emissions measured by a Flame Ionization Detector (FID) showed a decreasing trend; however, after correction for low sensitivity to ethanol and aldehydes, no significant differences were observed. Thermal efficiency increased with ethanol content, due to reduced cooling losses. Knocking was mitigated by the higher Research Octane Number (RON) from ethanol blending; however, the extent was smaller than in the production engine operating at λ = 1. This mechanism was examined through ignition delay calculations. At λ = 2.5 and in-cylinder pressures above 9 MPa, the 50–90% combustion duration was prolonged, attributable to suppressed ethyl radical formation under lean conditions and a greater influence of the reaction in which methyl radicals consume hydrogen atoms to produce methane under high-pressure conditions.
Sugata, KenjiMatsubara, NaoyoshiYamada, RyotaKitano, Koji
There is an increasing adoption of Direct-Injection Spark-Ignition (DISI) engines in the market, which per 2024 US Environmental Protection Agency (EPA) Automotive Trends Report represents 73% of new vehicles sold in the US. And while it is well accepted that DISI offers advantages over Port Fuel Injection (PFI) technology in meeting stringent CO2 emissions and fuel economy requirements set by the EPA, DISI engines are also associated with increased formation of injector deposits. These deposits may foul injectors and accumulate on the injector tip causing distorted spray patterns and diffusive combustion. Ultimately, this leads to engine performance deterioration and increased harmful emissions. To control deposit formation, detergent-type chemistries are added to the fuel in small amounts. Deposit Control Additives (DCAs) function by preventing the formation of deleterious injector deposits as well as removing existing ones. This study used standardized protocols describing the assessment of DCA in controlling injector deposits that have been developed by industry in both the US and Europe. When used at standard concentrations, DCA showed some engine performance and emission benefits over untreated base fuel. This investigation also demonstrated that engine performance can be recovered, in an engine with fouled injectors, with the use of higher DCA concentrations, accompanied by improved fuel economy and reduced particulate and total hydrocarbon emissions. This further confirms previous findings that, although DCA increases gum levels in the fuel, higher concentrations of DCAs improve injector cleanliness enough to outweigh any negative impacts from the increased gum content.
Soriano, NestorWilliams, RodCracknell, RogerLang, WendyChahal, Jasprit
With the strong momentum of electric vehicles (EVs), the battery recycling industry is undergoing rapid growth. While the Chinese government has implemented a white-list mechanism under which only approved recyclers are allowed to process retired batteries, small-scale illegal battery recycling vendors have posed a serious challenge. This study compares the techno-economic performance of battery recycling between legal and illegal recyclers in China, and makes recommendations to eliminate illegal operations. Our research covers two battery chemistries: lithium nickel-manganese-cobalt oxide (NMC) and lithium iron phosphate (LFP), as well as two technological pathways: resource recycling and cascade utilization. For the general case, the costs of illegal vendors are 35-46% lower than that of legal companies. Although legal companies achieve high resource utilization, their overall economic performance lags behind due to their high costs associated with equipment, environmental protection, taxes, and materials. Such situation can be reversed with changes in economies of scale, tax incentives, and automation in the recycling process. Among different battery types and recycling pathways, the resource recycling of NMC 811 batteries is most likely to achieve a competitive advantage through policy support and economies of scale. In contrast, for the resource recycling of LFP batteries, legal companies are unlikely to surpass illegal vendors across all scenarios. To ensure sustainable development of the battery recycling industry, critical strategies should be comprehensively employed, alongside measures such as raising entry barriers, regulating recycling networks, and strengthening supervision to crack down on illegal vendors.
Du, ShilongLi, HaoyangDou, HaoHao, Han
An on-road study has been conducted where a modern vehicle with a 3L turbocharged, PFDI gasoline engine was upfitted with appropriately sized uncoated GPFs for soot capture in a dual-bank exhaust line. The tested GPFs, whether clean or pre-loaded, were weighed to track their soot-load trends between representative real-world driving routes, where sensor data and exhaust temperature data was recorded. Thus, characterization of the passive soot regeneration process in the uncoated GPF was linked to elevated temperatures and vehicle drive cycles speeds.
Craig, AngusWarkins, Jason
This paper presents the emissions development of a heavy-duty hydrogen internal-combustion engine (H₂ICE) targeting ultra-low NOx with a design goal of 20 mg/hp-hr. The approach integrates advanced thermal management of the engine and aftertreatment, including engine out NOx management through air-fuel ratio controls and an electric heater to accelerate catalyst light-off and sustain activity at low-load/idle conditions. A diesel-derived aftertreatment system (ATS) is selected to maximize practicality and component commonality, and an integrated controls strategy spanning the engine and ATS is implemented to demonstrate ultra-low NOx capability over EPA certification cycles. The paper concludes with considerations for periodic SCR regeneration to ensure emission compliance.
Shakya, BijeshXu, HuiYang, ZhaoStetter, John
The rapid adoption of electric vehicles (EVs) is a cornerstone of the transition to sustainable transportation. However, uncertainty regarding battery degradation remains a significant obstacle, hindering vehicle energy efficiency, operational safety, and the recovery of end-of-life value. Accurate estimation of the battery state of health (SOH) and prediction of the remaining useful life (RUL) are therefore critical for sustainable vehicle lifecycle management. This study proposes an edge–cloud collaborative intelligent framework for in-vehicle deployment that leverages a Transformer-based architecture to jointly model SOH and RUL. The cloud-side model retains the full configuration to capture long-term degradation trajectories for high-accuracy RUL prediction. A lightweight edge-side model, engineered via pruning and knowledge distillation, delivers millisecond-level inference for real-time SOH estimation onboard the vehicle. To ensure efficiency, only four core health indicators are extracted for end-to-end prediction. Experimental validation across 77 battery cells demonstrates that the framework achieves SOH estimation with a root mean square error (RMSE) of 1.41% and RUL prediction with an RMSE of 2.59% (78 cycles). Furthermore, a periodic cloud-side update and over-the-air deployment mechanism ensure long-term adaptability and cross-platform scalability without full local retraining. This intelligent prognostic framework directly enhances EV reliability and sustainability by providing health-informed decision support for optimal vehicle operation, maintenance scheduling, and the reuse of second-life batteries. Consequently, it serves as a vital tool for advancing resource optimization and circular economy principles within the E-mobility ecosystem.
Gao, WeiminLv, ZhilongOu, Shiqi(Shawn)
As regulatory frameworks for zero-emission vehicles (ZEVs) and battery electric vehicles (BEVs) continue to evolve, there is growing emphasis on monitoring battery durability and usage throughout the vehicle lifecycle. These regulations increasingly specify the use of data monitors and tracking mechanisms to assess battery health and performance. In addition, regulations require anti tampering mechanisms especially for monitors that have external write access. Historically, regulations focused primarily on vehicle warranty; however, with the introduction of battery durability monitors, clarity is needed for the new battery durability monitors. More specifically if the battery durability monitors track with the lifetime of the vehicle or if they follow the lifetime of the battery. Furthermore, current regulations provide no guidance on high-voltage (HV) traction battery service strategies or methods to protect monitors from tampering by external customers. This paper will classify battery durability tracking parameters (DIDs) according to whether they align to the lifetime of the vehicle or the battery itself. Building on this classification, a service strategy is proposed that considers typical vehicle architectures: when the battery management Electrical Computer Unit (ECU) is fully integrated with or separated from the high voltage traction (HV) battery. The outlined service strategy not only supports regulatory compliance, but also enhances data integrity by mitigating the risk of tampering with monitored parameters through a Digital Twin framework. More specifically, the Digital Twin framework introduces redundant storage of critical information in multiple storage locations such as ECUs and then a mechanism for correlating that critical information to determine a mismatch. This approach anticipates future requirements for tamper-proofing and ensures secure, reliable tracking of battery durability metrics through redundant ECU storage.
Laskowsky, PatriciaBunnell, JustinZettel, AndrewAlbarran, Josue
As part of the decarbonisation process for passenger car fleet in Austria, battery electric cars in particular have been subsidised in recent years, as these vehicles are considered to be largely emission free during use and are expected to reduce emissions in future. However, in order to sustainably reduce the global greenhouse gas emissions of Austrian passenger car traffic, taking into account all types of fuel systems, it is necessary to apply a cradle-to-grave approach, as is commonly done in comparable analyses in the literature, which evaluates the emissions of the entire vehicle life cycle. The most important phase in the life cycle assessment remains the well-to-wheel phase, which includes emissions from energy supply and vehicle use. Due to the large number of influencing factors, highly simplified models are usually used for this phase in the literature. As part of this work, a methodology was developed that, allows an in-depth analysis of entire vehicle fleets by linking real vehicle movements with emissions data and energy consumption. By using real vehicle movements, environmental conditions (ambient temperature, etc.) and traffic situations (traffic jams, etc.) can be integrated into the emissions assessment. To capture the influencing factors more realistically, the assessment is performed at hourly rather than annual time intervals, unlike most previous studies. This new approach provides therefore a more detailed and realistic cradle-to-grave analysis of the Austrian passenger car fleet, making it possible to test individual measures in future scenarios and to define a coordinated strategy for minimizing the fleet’s future global greenhouse gas emissions.
Lischka, GregorTober, Werner
Against the backdrop of energy structure transformation and upgraded environmental protection requirements, ammonia has been gaining significant traction for its potential application as a zero-carbon fuel. However, it faces challenges such as difficult ignition, slow combustion rate, and low heating value. Thus, researching efficient combustion strategies suitable for ammonia as a fuel holds great significance. In this study, a two-cylinder diesel engine was modified into an ammonia-hydrogen blended fuel engine. Experimental study coupled with numerical simulations were carried out to investigate the effects of varying ignition timing on the combustion characteristics employed a passive pre-chamber ammonia-hydrogen fuel engine. The results show that the peak in-cylinder pressure exhibits a "first increase then decrease" trend as the ignition timing is retarded, reaching a maximum value of 7.42 MPa at the ignition timing of -27.5°CA ATDC. When the ignition timing is retarded beyond -15°CA ATDC, a double-peak phenomenon appears in the in-cylinder pressure curve. The peak heat release rate (HRR) gradually increases with the retardation of ignition timing, but excessively retarded ignition diminishes the proportion of constant-volume combustion in the combustion process. The combustion rate is the fastest when the ignition timing is -20°CA ATDC under the operating conditions of an engine speed of 1800 r·min-1, a hydrogen energy fraction (HEF) of 11.6%, and a λ of 1.0, with the shortest combustion duration (CA10~CA90) of 22.5°CA, which leads to the highest indicated thermal efficiency of 42.5%.
Deng, JunLuo, MingyuShang, QuanboTang, YongjianQin, JieLi, Liguang
In recent times, energy conservation and environmental protection have attracted more and more attention. This research presents a comparative study on the quantitative analysis and comprehensive ranking of the cradle-to-grave environmental benefits of a multi-material body shell across 18 countries. For quantitative analysis of the cradle-to-grave environmental impact of the body shell, life cycle assessment (LCA) was adopted to assess the process of interactions between the environment and human activity. For a comprehensive ranking of the environmental impacts across 18 nations, two modified techniques were used for order preferences by similarity to the ideal solution (TOPSIS) methods, which are improved by the fuzzy analytic hierarchy process (FAHP) and entropy method (EM). The outcomes from these three methodologies; FAHP&EM-TOPSIS, FAHP-TOPSIS, and conventional TOPSIS revealed that the comprehensive environmental benefit rankings of TOPSIS are highly different from the two improved TOPSIS methods, which shows the superiority of modified TOPSIS. The common results of the three measurement methodologies were that New Zealand has the best environmental benefit and Mexico’s environmental performance is the worst. Based on the two modified TOPSIS methods used in this study, the comprehensive environmental benefit resulting from the multi-material body shell in various countries can be compared and analyzed accurately and subjectively. Lastly, the obtained results underscore the illumination, usefulness, and practicality of the modified TOPSIS.
Li, ShuhuaWu, ZongyangJi, XiaoyuanTang, ZhengWu, BofuRokhsun, Hossain Rahman
With the vigorous development and technological iteration of the new energy vehicle industry, the strategic position of inspection, certification, R&D and testing in the industrial chain has become increasingly prominent. As the core energy storage component of new energy vehicles, the potential safety risks and environmental hazards in the testing process of power batteries are particularly worthy of vigilance. Based on more than ten years of operational practice in battery laboratories, this paper summarizes experience and lessons in depth, focusing on problems such as smoke, fire, explosion and release of toxic and harmful substances caused by thermal runaway of batteries in lithium-ion battery safety abuse tests. From the dimensions of risk characteristics of safety abuse tests, laboratory security design, and laboratory environmental protection facilities, it systematically expounds the risk prevention and control strategies and environmental protection measures for lithium-ion battery safety abuse laboratories, aiming to provide useful references for the healthy and orderly development of the new energy industry and the practice of social responsibility from a practical perspective.
Ren, GaohuiLiu, LeiJiang, ChenglongSun, ZhipengChen, Liduo
Ensuring safety and consistent quality in lithium-ion battery manufacturing is essential for the reliable operation of electric vehicles and energy storage systems. Strict quality control measures during production not only enhance product safety but also reduce the number of defective units entering post-market recycling streams. However, variations in battery quality remain inevitable, making efficient downstream sorting an important complement to upstream manufacturing control. Efficient sorting of retired lithium-ion batteries is critical for battery second-life utilization and circular economy development. Based on 750 commercially recycled retired batteries, this study proposes a 1D CNN-Transformer hybrid deep learning framework for automatic screening of retired batteries. The framework first employs a 1D convolutional neural network to extract local features from time–voltage sequences and compress sequence length, followed by a Transformer encoder to capture global discriminative features during the charging process. Subsequently, a two-layer multilayer perceptron classifier produces the category predictions. Experimental results show that the proposed method achieves a classification accuracy of 95.33%, significantly outperforming conventional approaches. Further analysis reveals that the 1D CNN module improves accuracy by approximately 4% by providing efficient feature inputs for global modeling; charging data, compared to discharging data, offer richer information, boosting accuracy by 16.67%; incorporating temporal information under non-uniform sampling enhances time-series modeling effectiveness, yielding a 2.67% accuracy gain; and using only the first 4–12 minutes of charging data can still achieve 92.67% accuracy, indicating that the early charging phase carries high discriminative value. This study provides an effective technical solution for sorting retired batteries and offers valuable insights for advancing the battery recycling industry.
Xiao, HualongLuo, GangWang, LiLin, MingqiangWu, Ji
Electric vehicle (EV) battery life cycle assessment (LCA) is emerging as a strategic necessity amid booming demand and tightening environmental regulations. This report consolidates key findings and recommendations for EBRR (Electric Battery Reuse & Recycling) to implement a comprehensive LCA program covering EV lithium-ion batteries from cradle-to-grave and cradle-to-cradle perspectives. The study confirms that global Li-ion battery demand is skyrocketing – projected to increase 14-fold by 2030[1] – amplifying the urgency for sustainable battery management (see Figure 1). It outlines the full life cycle stages of EV batteries (raw material extraction, manufacturing, use, and end-of-life) and compares linear vs. circular approaches. Using the ISO 14040/44 framework[18, 19] and industry-standard LCA tools, the report evaluates environmental impacts and identifies hotspots. Key findings show that mining and manufacturing dominate the battery’s carbon footprint, but end-of-life strategies can reduce lifecycle emissions by 30–40% through hydrometallurgical recycling, renewable energy integration, and second-life battery reuse. The implementation plan details a phased approach: team setup and training, inventory data collection (3–6 months), impact assessment, interpretation, and integration into EBRR’s corporate strategy. Technical challenges – data uncertainty, regional energy variability, scaling new recycling tech, and regulatory compliance – are addressed with mitigation tactics like sensitivity analysis and scenario modeling. Finally, the roadmap recommends actionable steps: transitioning from pyrometallurgy to cleaner hydrometallurgy (cutting recycling greenhouse gas (GHG) emissions nearly in half [3]), powering battery manufacturing with renewables (potentially halving production emissions[4]), designing for disassembly and second-life reuse (extending battery life and reducing need for new materials[5, 6]), and proactive policy engagement. Implementing this LCA-driven strategy will position EBRR as a frontrunner in responsible battery stewardship, achieving verified reductions in environmental impact (~30–40% GHG reduction) while meeting or exceeding emerging global regulations such as the EU Battery Regulation 2023/1542[53]and various Extended Producer Responsibility laws. This not only mitigates environmental and social risks but also enhances long-term profitability and resilience for EBRR in the fast-evolving EV industry.
Asokan, GayathriRaju cEng, RajkumarDhananjaya, ChandanSattigeri cEng, Sudhir V
As electric vehicles continue to revolutionize transportation, ensuring the reliability of their powertrain systems and Battery Packs has become a critical focus. One key challenge is galvanic corrosion, which occurs when dissimilar metals in contact are exposed to an electrolyte, such as seashore moisture or road salt used in snow or ice zones. This corrosion can weaken structural components, compromise electrical conductivity, and reduce the lifespan of critical systems. Common areas at risk include metallic joints within battery enclosures, busbars, cooling systems, and electrical connectors. Environmental factors such as high humidity and temperature fluctuations further amplify the issue, making it a pressing concern for manufacturers. This paper aims to systematically identify critical galvanic joints within electric powertrain systems and Battery Packs and provide effective strategies to mitigate corrosion risks. Preventative measures include choosing compatible materials with similar electrochemical properties, applying protective coatings, and utilizing dielectric barriers to isolate metals. Design optimizations, such as minimizing contact surfaces and improving drainage, can reduce the accumulation of electrolytes, while sealed enclosures and humidity management systems offer additional environmental protection. Regular maintenance and inspections are essential to detect early signs of corrosion and prevent long-term damage. By integrating these strategies into manufacturing and design workflows, automakers can enhance the durability, safety, and overall performance of electric powertrain systems ensuring they meet the growing demands of sustainable mobility.
Narain, AdityaVenugopal, SivakumarGopalan, VijaysankarVaratharajan, Senthilkumaran
This research paper offers a comprehensive evaluation of lithium-ion battery recycling methods, tracing the entire journey from global demand to the practical challenges and solutions for sustainable battery recycling. It starts with the analysis of worldwide LIB demand growth alongside the exponential growth in volumes of spent batteries and recycling rates. The study focuses on the imbalance in production and recovery of critical battery components and its environmental and economic effects. The paper then systematically examines six major recycling methodologies: mechanical, pyrometallurgical, hydrometallurgical, biotechnological, direct, and ion-exchange recycling. It goes into detail about their advantages, limitations, and roles in maximizing the recovery of valuable metals such as lithium, cobalt, and nickel. Traditional techniques like hydrometallurgical and pyrometallurgical methods, and emerging approaches including bioleaching and ion-exchange, are evaluated for their technical effectiveness and sustainability. Utilizing a multi-criteria decision analysis framework, the study compares these recycling methods across technical, environmental, and economic factors. The role of cutting-edge technologies, including automation and artificial intelligence, is also explored and discussed for their potential to optimize recycling processes, reduce chemical waste, and scale operations to meet escalating global demand. Pushing the transition toward circular economy models and closed-loop systems, this paper underscores the importance of emerging recycling solutions to preserve finite resources and build a resilient and sustainable LIB supply chain. The strategic recommendations are provided with the aim to guide industries and policymakers toward efficient, scalable, and environmentally responsible battery recycling technologies, which are critical for supporting the clean energy transition and future technological growth.
Jain, GauravPremal, PPathak, RahulGore, Pandurang
The global shift to electric vehicles (EVs) is vital for reducing greenhouse gas emissions, but their sustainability hinges on effective battery lifecycle management. This review examines the interplay between Life Cycle Assessment (LCA) and circular economy (CE) principles in EVs, with a focus on both international trends and India-specific challenges. We analyze CE strategies such as extending battery lifespan, second-life applications, and recycling integrated with LCA to evaluate environmental impacts from raw material extraction to disposal. Key areas include battery chemistry, LCA methodologies, policy frameworks, and industrial practices, informed by a synthesis of over 50 peer-reviewed articles, technical papers, and sustainability reports. Challenges include inconsistent LCA baselines, low material recovery in informal recycling, and regulatory gaps, particularly in India. Despite these, innovations like solid-state batteries and advanced recycling techniques offer promise, potentially reducing emissions by 30–40 percent through closed-loop systems. Research gaps remain in areas like the durability of recycled materials, economic viability of CE strategies, and socio-ethical considerations. This review provides a holistic overview, actionable insights, and a roadmap for integrating CE into EV design and policy, especially tailored to India’s evolving automotive ecosystem. By addressing these issues, it aims to guide policymakers, industry stakeholders, and researchers toward a more sustainable, circular future for transportation.
Haregaonkar, Rushikesh SambhajiKumar, OmSankar M, GopiKumar, Rajiv
The regulatory mechanisms to measure emissions from automobiles have evolved drastically over the years. Certification of CO2 emissions is one of them. It is not only critical for environmental protection but can also invite heavy fines to OEMs, if not complied with. In homologation test of a Hybrid Vehicle, it is necessary to correct the measured CO2 to account for deviations in measurement from failed Start-Stop phase and difference between start and end State of Charge (SOC) of battery. The correction methodology is also applicable for vehicle simulation in Software-in-Loop environment and for analyzing vehicle test data for CO2 emissions with programmed digital tools. The focus of this paper is on the correction of CO2 derived from SOC delta in the WLTP homologation drive cycle. The battery energy delta due to difference in SOC between start and end of drive cycle should be converted to corresponding CO2 expended from Internal Combustion Engine. The resulting correction factor is known as the REESS factor. To provide a reasonable correction factor for one type of engine in a particular car/weight class, a minimum of 3 measurements are required. Digitalization of the same will provide a significant cost benefit and a faster prediction of REESS factor with wider boundary condition of SOC balance applied. The current full vehicle simulation model was adopted to have better validation with REESS correction factors from measurement. A detailed analysis of the impact of operating strategy on the REESS correction factor is reviewed in this paper. The simulations are carried out on well validated models of different powertrain types. The aim of this study was to achieve a simulation setup which can predict REESS factor in tolerance range of +-0.03 (gCO2/km)/(Wh/km) in comparison to measurement.
Gopinath, Shravanthi PoorigaliKhatod, Krishna
This study explores the application of reverse engineering (RE) and digital twin (DT) technology in the design and optimization of advanced powertrain systems. Traditional approaches to powertrain development often rely on legacy designs with limited adaptability to modern efficiency and emission standards. In this work, we present a methodology combining 3D scanning, computational modeling, and machine learning to reconstruct, analyze, and enhance internal combustion engines (ICEs) and electric vehicle (EV) drivetrains. By digitizing physical components through RE, we generate high-fidelity DT models that enable virtual testing, performance prediction, and iterative improvement without costly physical prototyping. Key innovations include a novel mesh refinement technique for scanned geometries and a hybrid simulation framework integrating finite element analysis (FEA) and multi-body dynamics (MBD). Our case study demonstrates a 12% increase in thermal efficiency for a retrofitted ICE and a 15% weight reduction in an EV motor housing through topology optimization. The proposed approach not only accelerates R&D cycles but also supports circular economy principles by facilitating the remanufacturing of legacy components. This work contributes to the ongoing shift toward sustainable mobility by bridging the gap between legacy engineering and next-generation powertrain innovation.
Bernikov, Mark AlexandrovichKurmaev, Rinat
India being highly populated and developing country, the demand for various alternative fuel is increasing drastically. It is driven by the need to reduce dependency on traditional fossil fuels & reduce impact on environmental issues like Greenhouse gas, emissions & pollution. The potential options, CNG (Compressed Natural Gas) & Biodiesel, are becoming increasingly popular and important. Biodiesel, a renewable fuel which is produced from waste materials & crops which grown repeatedly & easily available while CNG is more sustainable than diesel as natural gas is a cleaner-burning fossil fuel in comparison to coal or oil. This paper will focus on comparison between basic properties of Diesel, CNG & Biodiesel. In this study will also focus on survey of various Government initiatives, policies & infrastructural development which are evolving to encourage the usage of CNG & Biodiesel. These fuels are emerging as promising alternative contenders to traditional diesel. It has the potential to reduce carbon footprints, making them environment friendly & more sustainable energy options. This survey also summaries the industry motivation from govt initiatives to promote the aim of cleaner transportation & its transition towards future sustainable energy. This study presents a comparative journey of CNG & Biodiesel in India. Key parameters like fuel properties, feedstocks and its availability, storage and handling, product integration, emissions and endurance performance assessments, customer acceptability etc. are considered for understanding these fuels in a better way. Also, it will highlight the key bottlenecks, technical challenges & the obstacles hindering the widespread adoption of Biodiesel as compared to CNG. The paper also elaborates the challenges on sustainability of biodiesel and CNG fuels and the futuristic opportunities in carbon neutral fuels like H2. The paper concludes with the comparative study of CNG & Biodiesel on various aspects from ideation to execution.
Bondada, NanditaBaruah, LabanyaMokhadkar, Rahul
The rising importance of sustainability in the automotive sector has led to increased interest in circular and environmentally responsible materials, particularly for plastic trims parts, both interior and exterior. This study focuses on developing textile solutions using recycled polyethylene terephthalate (r-PET) sourced from post-consumer plastic waste, along with bio-based fibres such as bamboo. These materials made into woven and knitted fabrics are studied to suit different vehicle interior applications. r-PET textiles show promising strength, aesthetic appeal, and durability performance. Bamboo fabrics are known for their natural antimicrobial properties and enhanced breathability. Extensive testing is performed to validate explored sustainable materials performance against key automotive requirements. With this study, we gain an understanding of the performance of variedly sourced sustainable raw materials for automotive specific textile applications by different manufacturing methods.
Deshpande, SanjanaBorgaonkar, Subodh
The purpose of this research is to examine the fundamental principles of a circular economy (CE) in relation to the automotive industry in India, which plays a vital role in the country's economy. As a result, energy consumption and environmental impacts also pose significant challenges. CE provide a transformative approach through the life cycle of a vehicle, guiding the automotive industry toward a more sustainable transportation system. In order to decarbonize this industry, the global automotive commission recommends that recycled plastic content in vehicles be increased to 20-25% by 2030. This target necessitates the recovery of plastics from end-of-life vehicles, though these materials are rarely integrated into compounds today. The automotive industry's reliance on plastics has grown substantially due to their lightweight properties, which enhance fuel efficiency, reduce CO₂ emissions, and improve versatility and mechanical performance. polypropylene polymer and several other polyolefins are used for components like bumpers. The most prevalent recycling method for polypropylene bumpers is mechanical recycling, yet it presents notable challenges. It is important to note that paint, in particular, affects both the aesthetic quality and the structural integrity of recycled materials. This review work also explores the primary recycling methods documented in literature, particularly those that have minimal environmental impact. Further, the study provides a comprehensive analysis of India's transition toward sustainability in the automotive sector, including procedures for waste disposal and reuse. The report emphasizes the industry's growing pressure to adopt circular and sustainable approaches in production, vehicle design, and waste management while emphasizing the principles of reducing, reusing, and recycling plastic waste.
Kumar, Vijay Bhooshan
In a developing country like India, the growing energy demand across all sectors underscores the urgent need for clean, sustainable, and efficient energy alternatives. Hydrogen stands out as a promising fuel, offering virtually zero emissions and helping to reduce greenhouse gas (GHG) emissions, which directly contributes to mitigating global warming, ensuring a cleaner environment, and lowering dependency on fossil fuels. In line with Sustainable Development Goal 7 (SDG 7), which seeks to guarantee that everyone has access to modern, cheap, and sustainable energy, hydrogen is well-positioned to be a major player in India's energy transformation. However, hydrogen has unique properties such as its wide flammability range, high reactivity, and high energy content present significant challenges in terms of safety, particularly in its storage, transportation, and usage. Improper handling or inadequate safety measures can lead to hazardous incidents, making robust testing, certification, and infrastructure development is vital for its safe deployment. Technology for hydrogen detection is essential for maintaining safety and adhering to legal standards. However, detecting hydrogen leaks poses significant challenges due to its unique physical properties: colourless, odourless, and tasteless, no smoke or visible trail, low density and high buoyancy etc. This paper reviews the current literature on hydrogen safety, with a focus on detection technologies, leakage prevention, and key considerations essential for the safe application of hydrogen in accordance with regulatory requirements. The paper discusses various sensor technologies and their underlying detection principles, including Catalytic, Resistance, Thermal conduction, Electrochemical, Work Function, Mechanical, Optical, Acoustic etc. Each sensor type is assessed for sensitivity, response time, selectivity, detection range, and suitability for different applications. This review aims to support researchers, industry stakeholders, and policymakers in identifying effective detection solutions and enhancing hydrogen safety frameworks for widespread adoption.
Pawar, YuvrajDekate, Ajay DinkarThipse, SBelavadi Venkataramaiah, Shamsundara
Engine mount brackets are a primary structural components of passenger vehicles that supports the powertrain to the chassis via engine mounts. These brackets are important to control vibrations and the transmission of noise into the cabin as well as vehicle stability. Since they support the engine mounts, these brackets play a role in determining ride comfort and load distribution on the mounts and the engine. While traditionally made from steel, cast iron and aluminum, we are trying to redesign engine mount brackets with recyclable engineering plastics to fit current demands of light-weighting, cost efficiency, and sustainability. The present work is concerned with the design of a plastic engine mount bracket, which aims to hit specified natural frequency targets in order to avoid resonance and fulfill strict NVH (Noise, Vibration, and Harshness) requirements. Because of the superior mechanical strength, thermal stability, and vibration-dampening properties, PPS, glass-fiber reinforced polyamide (PA66-GF50), PEEK (polyether ether ketone), and other high-performance reinforced plastics like polyphenylene sulfide were taken into consideration. These materials can be used in structural automotive applications in place of metals. Through the Finite Element Analysis, modal analysis, CAE based durability simulations and vehicle-level testing the optimized bracket proven to meet structural and dynamic performance specifications. The findings confirm that, in the form of plastic bracket, recyclable designs can be technically feasible and sustainable alternatives to metal designs, which help reduce vehicle weight, increase fuel efficiency and vehicle manufacturability without sacrificing durability and safety.
Hazra, SandipGupta, DeepakKhan, ArkadipGite, Yogesh
This paper compares carbon dioxide, carbon monoxide, methane, and oxides of nitrogen emissions from medium and heavy-duty buses using diesel, diesel-hybrid, and CNG powertrains. Comparisons are made using results from chassis dynamometer-based tests with driving cycles intended to simulate a wide range of operating conditions. Tail pipe emissions are measured by diluting the vehicle’s exhaust in a full-scale dilution tunnel by mixing with conditioned air. Samples are drawn through probes of raw exhaust, diluted exhaust and measured using laboratory grade emission analyzers. Fuel consumption of diesel is measured using a weighing scale, while a gas flow meter is used for measuring CNG consumption. Experimental data from 19 buses tested on a chassis dynamometer over the last 8 years has been analyzed and a comparison of results from similar buses with the differently fueled powertrains is presented. Based on these test results, it is shown that replacing diesel engines with CNG engines does not significantly reduce the emissions of carbon dioxide, while it increases carbon monoxide and methane emissions, reduces oxides of nitrogen emissions, and does not substantially help to reduce global warming.
Iyer, Suresh
In the context of mounting urban transportation demands, coupled with the imperatives for energy conservation and carbon reduction, incumbent tram systems confront a range of challenges. This paper proposes a green and low-carbon technological framework for tram, encompassing three phases of planning, design, construction, and operation management. It elucidates the energy-saving and environmental protection technical measures inherent in each phase, accompanied by a thorough analysis of their respective advantages and ramifications. The paper further puts forward suggestions for the green and low-carbon transformation of trams, providing both theoretical guidance and practical reference for the sustainable development of trams.
Luan, Zhi-GangZhou, Hai-ZhuWang, Yuan-QiaoCai, Jing-BiaoZhou, Li-NingZheng, Liang-JiTian, Jiu-Li
Lithium-ion batteries (LIBs) have consolidated their place in the technology market for the energetic transition, with global manufacturing capacity exceeding 1 TWh in recent years and costs falling in this competitive environment. At the same time, the number of end-of-life LIBs is increasing, stimulating the recycling industry to process battery streams, thus promoting the circular economy to meet the increased demand for strategic raw materials and decarbonization. Vehicle electrification is the main driver of battery production, but their end-of-life will take some time to be significant in volume in the next years. Consumer electronics such as smartphones, laptops and power tools are now available at an appropriate volume enabling the preparation of recycling industry for the moment. In this scenario, recyclers are looking for sustainable routes to absorb all these streams and the different LIBs chemistries (LFP, NCA, NMC, LCO, LMO) to recover the critical metals (Ni, Co, Cu, Mn and Li). Faced with these problems, Tupy in an Embrapii project with Tecnogreen LAREX at USP has developed a recycling route for EV batteries that extends its feed to electronic batteries in a flexible hydrometallurgical process. This work presents the results of this process, which includes the semi-pilot scale of 20kg LIBs obtained from electronics. Critical metals recovery efficiency was 71% of cell weight, leading for 83% of Co, 93% of Cu, 86% of Ni and 89% of Li. Such initial results exceed the Cu, Ni and Li efficiencies required by the European Union at the end of 2027.
Gobo, Luciana AssisFerrarese, AndreOliveira, Rafael Piumatti deMartins, Thamiris Auxiliadora GonçalvesGuillen, Daniela RomeroSilva Vasconcelos, David daTenório, Jorge Alberto Soares
The aviation sector currently accounts for 2-3% of global Greenhouse Gas (GHG) emissions, while the projected increased air travel demand (average 3.4% per year), might surge the aviation fuel use. This increase in jet fuel demand, associated with the current decarbonization pathway of other sectors might increase the aviation’s absolute emissions, as well as its relative global GHG share. This scenario has driven the aviation stakeholders into a decarbonization strategy, focused on an immediate and gradual GHG reduction effort associated with a net-zero commitment by 2050. Meanwhile, the aviation sector is known as one that set most difficulties to use alternative fuels and/or powertrains, such as battery electric or sustainable hydrogen fueled propulsion systems, already used on some road and rail applications, but still restricted to the aviation, due to the inherent weight and volume tight requirements. In this context, the sustainable aviation fuels (SAF) are set as the most promising short and medium term aviation decarbonization tool, due to their drop-in feature, which ultimately allows its use on the current aircraft fleet, as well as the fuel storage and distribution systems, provided the certified blends. The prominent SAF role brings increasing demand volumes in the foreseeable future. However, the SAF scaling process from the current 0.1% share of the global jet fuel market faces an array of challenges (technical, regulatory – including the sustainability associated with the feedstocks and the production pathways and economic), requiring collective efforts to boost the technology deployment, address demand reliability and set an efficient regulatory frameworks. Different regulatory approaches have been proposed, with the so called mandates, adopted, for instance, in the European Union and to be adopted in Brazil (from 2027), to encourage investments for SAF production, while the United States (U.S.), the larger jet fuel market in the world, has adopted the use of incentives, to foster the SAF production capacity. This work presents, in a review format, a chronological timeline of the challenges associated with the implementation and scale use of SAF. It highlights the technical, regulatory and economic topics associated with the aviation’s net zero commitment, as well as sets the required roles of the associated stakeholders to make SAF a feasible alternative.
Barbosa, Fábio Coelho
This study presents a comparative Life Cycle Assessment (LCA) of urban buses powered by Diesel S10 with three fuel blends: B7 (7% biodiesel), B15 (15% biodiesel), and B100 (100% biodiesel). Employing a well-to-wheel approach, the analysis covers the extraction, production, distribution, and use of the fuels, as well as vehicle manufacturing and maintenance. The environmental impacts were quantified using the CML-IA and ReCiPe 2016 (Midpoint and Endpoint) methods. Results indicate that B100 significantly reduces Global Warming Potential, yet exhibits higher impacts in eutrophication, abiotic depletion, and ecotoxicity. Sensitivity analysis regarding vehicle occupancy revealed greater variability for B100. In conclusion, the optimal fuel choice depends on the prioritization of specific impact categories, providing insights for sustainable transportation policies.
Cavaliero, Carla Kazue NakaoBarboza, Franciele AlvesSeabra, Joaquim Eugênio AbelFerreira, Marcela CravoCarpoviki, Renan SiqueiraCruz, Robson Ferreira
The road transport mode is predominant in Brazil, representing more than 50% of greenhouse gas (GHG) emissions from energy sector [1]. Currently, trucks use internal compression combustion engine (ICCE) with fuel Diesel as propulsion, considering the reference for technical and economic studies for alternative propulsions such as: electrification or hydrogen (H2) as fuel. Both technologies are extremely important to achieve the goals defined by Brazilian nationally determined contribution (NDC) (commitment to Paris agreement target) to avoid climate changes catastrophic issues due climate temperature risk to exceed 2°C. In addition, several companies have announced sustainability compromises to contribute with reduction of GHG emissions in scopes 1,2 and 3, focusing on Environmental, Social and governance (ESG), where road transportation has a larger contribution to achieving the target. Contran Resolution (CR) n° 882/2021 defines the maximum weights and dimensions of vehicles to be authorized to circulate in Brazilian roads. A major challenge is the eligibility of the system to be installed, as well as the layout arrangement in the vehicle. In the context, during the concept phase, it is necessary to evaluate the load distribution on the axles, maximum weights and maximum dimensions of the vehicle complying with the legal requirements. Legal requirements modifying has been started in some countries, for example Chile where recently had public a resolution n° 181/2025 allowing to increase 350 kilograms (kg) in a single front axle, probably part of new policies to make feasible alternatives propulsions to reduce GHG emissions. The proposal of this work will evaluate the impact of load distribution through the assessment of possible layouts for purely electric propulsion or hydrogen fuel propulsion using software as tool, searching for greater agility in concept evaluation. The challenge is to create a model where it is possible to modify the gravity of center (CoG) along the vehicle considering curb weight, implementation, gross weight and payload, checking if it possible to follow the same premises of ICCE and current CR without miss customer by criteria. The results show the impact of reduced payload by 15-34% due to mass added in vehicle for zero emission vehicle (ZEV) using alternative propulsion (electric and hydrogen) in all scenarios simulated, considering the same dimensions of ICCE complying with CR. As conclusion, has been observe challenges for truck decarbonization due to payload reduction, generating direct impacts in customers due the possible total cost operation (TCO) increase. In additional this work can contribute to new decarbonization mobile polices discussion in the future (technical or compensation rules), where the tool used can contribute to build Fastly many different scenarios for decision. As recommendation, the CR updated n°1015/24 does not comply all decarbonization truck scenarios and will need be discussed how reduce the impact for ZEV concepts, resulting in CR updates to make the plan feasible for the truck decarbonization,
Ferreira, Bruno FranciscoOliveira Da Silva, Laura de
In response to increasing environmental awareness and the automotive industry's push for sustainability, the development of lightweight and robust components has become a key area of focus. This paper presents a multidisciplinary approach to the design and optimization of an aluminum parking brake lever, leveraging advanced structural optimization techniques to enhance performance while meeting stringent environmental standards. Traditional manufacturing processes for automotive components, such as stamping, often rely on steel due to its strength and ease of processing. However, the high density of steel can significantly impact the overall weight of the vehicle, leading to increased fuel consumption and emissions. In contrast, aluminum’s superior strength-to-weight ratio offers a promising alternative. This study employs Finite Element Analysis (FEA) to model the initial stress history of the lever, followed by the application of structural optimization tools to refine its geometry for weight reduction and performance enhancement. The optimization process focuses on maintaining or improving the structural integrity of the component while achieving significant reductions in weight. By integrating Computer-Aided Design (CAD) and Computer-Aided Engineering (CAE) tools, the study demonstrates how a multidisciplinary approach can lead to innovative solutions that align with both performance requirements and sustainability goals. The results highlight that the use of aluminum, in conjunction with optimization methods, leads to a considerable weight reduction compared to the traditional steel design, while maintaining the necessary robustness for automotive applications. The study not only provides insights into material substitution but also emphasizes the role of structural optimization in modern automotive engineering, contributing to more sustainable manufacturing practices.
Filho, William Manjud MalufCarriero, Emily AmaralRequena, Felipe Carlos GarciaScatolin, Felipe MandichMarini, Vinicius KasterAlves1, Marcelo Augusto LealFerreira, Wallace Gusmão
Building a green and ecological railway transportation system that incorporates the “Dual-Carbon” Strategy is a central focus and challenge in current industry research. In the western mountainous regions with complex engineering geological conditions and fragile ecosystems, it is particularly important to explore the optimal railway route under the framework of the “Dual-Carbon” strategy. By analyzing the characteristics of the geographic environment of the western mountainous areas and the trend of low-carbon railroad construction, and referring to the relevant principles of railroad line selection, the method of quantifying the carbon emissions during the construction phase of the railroad and the carbon sequestration capacity of the land lost as a result of the railroad project’s land occupation is proposed by selecting 23 indicators from the five aspects of engineering adaptability, low-carbon adaptability, economic adaptability, environmental adaptability, and social adaptability as the entry point. The evaluation index system for the preferred railroad line scheme in the western mountainous area, developed in the context of the “Dual-Carbon” strategy, incorporates both subjective and objective weighting of the evaluation indexes using the G1 and CRITIC methods, respectively. Additionally, symmetric cross entropy sorting method is introduced to determine the combined weights of the indexes, effectively balancing the variability and conflicts between the indexes while considering subjective experience and the authenticity of the objective data. Finally, to address issues in the traditional TOPSIS method—such as the irrationality of directly combining benefit-type and cost-type indicators and the significant difference in their magnitudes—a railroad line scheme preference model based on osculating value improvement TOPSIS approach is developed and validated through engineering case studies. The calculation results indicate that the corrected osculating values of the four line schemes in the region are 0, 1.623, 0.700, and 2.000, respectively. The scheme with the highest corrected osculating value is selected as the optimal choice. The preferred results based on the model align with the actual engineering scheme, verifying the model’s reliability. This approach holds significant value for application in the selection of low-carbon railroad lines in western mountainous areas.
Wang, Yibo
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