Browse Topic: Vehicle to grid (V2G)

Items (119)
This SAE Information Report SAE J2836/6 establishes use cases for communication between plug-in electric vehicles and the EVSE for wireless energy transfer as specified in SAE J2954. It addresses the requirements for communications between the on-board charging system and the wireless EV supply equipment (WEVSE) in support of detection of the WEVSE, the charging process, and monitoring of the charging process. Since the communication to the charging infrastructure and the power grid for smart charging will also be communicated by the WEVSE to the EV over the wireless interface, these requirements are also covered. However, the processes and procedures are expected to be identical to those specified for V2G communications specified in SAE J2836/1. Where relevant, the specification notes interactions that may be required between the vehicle and vehicle operator, but does not formally specify them. Similarly, communications between the on-board charging sub-system and the on-board vehicle electronics is not formally specified in this document. This document will be published as a set of steps. The intent of step 1 was to record as much information on “what we think works” and publish. The intent of step 2 is to provide refinement and missing pieces to step 1, with a an eye to early testing. This version is step 2, with the aim of providing a communication protocol for home chargers.
Hybrid - EV Committee
The integration of Electric Vehicles (EVs) as active grid resources represents a pivotal shift towards decarbonization. However, the implementation of effective Vehicle-to-Everything (V2X) services faces technical challenges regarding interoperability, predictive management, and battery health preservation. This work presents a comprehensive system design and research methodology developed within the framework of the FLEXV2X project, aimed at addressing interdependencies within a unified bidirectional charging ecosystem. The proposed scientific framework addresses two complementary timescales. At the device level, the study details the modelling and optimization of bidirectional converters, focusing on control algorithms designed to ensure robust dynamic response and efficiency. Building upon this hardware foundation, the paper describes a system-level optimization strategy. By employing open-source cyber-physical modelling, the architecture simulates complex EV-grid interactions. This layer integrates Artificial Intelligence (AI) algorithms to forecast stochastic variables such as renewable generation and fleet availability, driving a rule-based optimization engine. This dispatching logic will also be constrained by novel battery aging models, calibrated through experimental cycling stress-tests, balancing grid flexibility services with the preservation of the vehicle’s asset value. The effectiveness of this multi-layered design is assessed through a validation roadmap involving real-world deployment of a corporate mobility hub connected to a 10 MW wind farm, and a large-scale urban car-sharing fleet.
Lutzemberger, GiovanniBarater, DavideCeraolo, MassimoFera, CesareLeaver, IanPasini, Gianluca
As the demand for electrical power has surged over recent years due to the increasing popularity of data centers for Artificial Intelligence (AI) and Electric Vehicles (EVs), it is becoming evident that the aging electrical grid infrastructure is struggling to keep up. Some of the problems this aging infrastructure has resulted in include frequent blackouts due to weather related events, reduced efficiency resulting in higher maintenance costs and outdated communication systems causing poor monitoring and response times. Modernization of the grid in conjunction with integration of the transportation sector with the grid is essential to ensure the reliability and resiliency of the grid. Electric vehicles have dramatically increased in popularity, with most vehicle manufacturers offering at least one electric option in their lineups. Looking at recent developments in vehicle-to-grid (V2G) technology, a new possibility becomes evident; instead of straining the power grid, the electric vehicle can synergize with it. This becomes possible when EVs can facilitate charging during off-peak (low demand) hours and supplying power back to the grid during on-peak (high demand) hours. There are quite a few challenges associated with this approach, lack of standardized charging infrastructure and higher install costs, regulatory and policy hurdles, gaps in technological know-how particularly in relation to impact of power supplied by EVs on grid and effect of V2G on EV battery degradation in the long run, to name a few. This paper reviews the current power demand and supply along with existing and projected power consumption metrics. We also discuss the V2G strategy to effectively manage load requirements, incentives that can be provided to facilitate the execution, and the challenges associated with its widespread implementation. Finally, we discuss case studies of vehicles that incorporate V2G capability and their implications.
Dahlmann, Alexander DrakeLele, Sneha
The growing adoption of electric vehicles (EVs), particularly those utilizing High-Voltage battery systems, demands fast-charging infrastructure that ensures high efficiency and power quality. The proposed GJO algorithm is employed to optimize the control and switching parameters of the Vienna rectifier, thereby improving harmonic performance and conversion efficiency without altering the converter hardware. This paper focuses solely on control optimization of the Vienna rectifier topology and does not include DC–DC isolation or galvanic separation. Filter components are modeled with equivalent series resistance (ESR) to account for incremental losses. Simulation results demonstrate that the Golden Jackal optimization (GJO) based control reduces input current THD to 2.09%, has a power factor of 0.998, and achieves an efficiency of 98.53%, representing a fractional but consistent improvement over conventional control methods such as SSA, ALO, and PSO. These findings highlight the effectiveness of GJO in enhancing the performance of vienna rectifier-based chargers, establishing it as a promising solution for next-generation high-voltage EV fast-charging infrastructure. However, since the vienna rectifier is a unidirectional converter, the proposed system is limited to grid-to-vehicle operation and does not support reverse power flow (vehicle-to-grid).
R, Mohammed AbdullahN, Kalaiarasi
Precise estimation of power metrics like active power, reactive power and apparent power is mandatory for effective control and monitoring of three phase power systems. On the other hand there might be challenges like waveform distortion, noisy signals and unbalanced load circumstances. traditional methods may not always provide accuracy in such an environment thus to address that in this study, we are using cross correlation and zero crossing methods to estimate power parameters of a three phase system. We are using these signal processing techniques to find phase angle, which in turn determines all other power parameters like active power, reactive power, apparent power, power factor. While Cross correlation tracks both the signals at different time lags and evaluate similarity between both the signals, zero crossing point approach identifies some particular locations where signal crosses zero axis. This analysis can be used in various applications such as power parameters monitoring in electric vehicle (EV) charging for both grid to vehicle (G2V) and vehicle to grid (V2G) modes, AC energy meters to analyze and optimize energy usage along with theft detection, energy demand side management. The analysis and comparison is done using both method in terms of effectiveness, precision and real time applications in presence of noise, distortion and unbalanced load conditions. The strengths and weaknesses of each method are concluded using simulated and expected results.
Panchal, Sanjivani VishwanathRoy, Sandipan
The advancement of electric mobility has driven the development of technologies aimed at enabling smart, secure, and interoperable electric vehicle (EV) charging. In this context, this paper presents a technical and market analysis of the Vehicle-to-Grid (V2G) and Plug & Charge (PnC) functionalities, focusing on their architectures, applicable technical standards, communication protocols, levels of commercial maturity, and emerging applications. The discussion begins with a review of the main national and international standards relevant to charging infrastructure, with emphasis on IEC 61851, IEC 62196, and ISO 15118 series, which address the technical requirements of equipment, connectors, and vehicle-to-grid communication. The operation of V2G is then discussed as a technology that enables bidirectional energy flow between the EV and the power grid, with a focus on topological configurations, pilot project applications, and regulatory and economic challenges that currently limit its large-scale adoption. In parallel, Plug & Charge solutions based on ISO 15118 are presented, which enable automatic authentication and billing directly through vehicle-charger communication, eliminating the need for user interaction via cards or apps. Market analysis identifies commercially available V2G- and PnC-compatible EV models, charging stations, backend systems, and roaming platforms such as Hubject and Digital Charging Solutions (DCS). The findings show that while V2G is still in a validation phase with limited deployments, Plug & Charge is already undergoing broader commercial adoption. This study provides technical and strategic insights to support national research and development initiatives, outlining the main technical requirements, standards, and regulatory challenges for the effective implementation of these technologies in the Brazilian electric mobility ecosystem.
Marques, Felipe L. R.Arioli, Vitor T.Bernardo, RodrigoNakandakare, Cleber A.Pizzini, Luiz R.Nicola, Eduardo V.
This SAE Recommended Practice establishes the communication for the variety of potential functions for plug-in electric vehicle (PEV) customers. This includes features for use case items in SAE J2836/3 that may be PEV/customer optional equipment, such as AC vehicle-to-load (V2L) and AC vehicle-to-vehicle systems. These systems conform to SAE J1772 with variations required to identify to the PEV bidirectional onboard charger (OBC) the mode of operation changes and output requirements. SAE has published multiple documents relating to PEV and vehicle-to-grid (V2G) interfaces. The various document series are listed below, with a brief explanation of each. Figure 1 shows the sequencing of these documents and their primary function (e.g., the SAE J2836 and SAE J2847/1 documents start with smart charging, SAE J2836 and SAE J2847/2 then add DC charging, etc.). The intent is to have subsequent slash sheets complement each other as more functions and features are included. The /6 series of documents add wireless charging items not already included in the proceeding slash sheets. These are all then included in interoperability in SAE J2953 and security in SAE J2931/7. SAE J3072 then includes the PEV to grid requirements for V2G power and communication to match the SAE J2836/3 use cases.
Hybrid - EV Committee
A home in Silicon Valley goes dark for a moment, then clicks back to life. A GM Energy employee had switched off the house's access to the grid. When it detects a lack of power the GM Energy PowerShift Charger box, inverter, and Silverado EV switch from charging the vehicle or sitting idle to powering the home. Ford's F-150 Lighting and Kia's EV9 also have bi-directional charging boxes that can keep the lights on when the grid fails. Bidirectional charging, or V2H (vehicle to home), is one of the more important features of electric vehicles. It has the potential to keep the lights on during blackouts, save people money on their utility bills and help balance the grid.
Baldwin, Roberto
With the rapid expansion of the electric vehicle (EV) market, the frequency of grid-connected charging has concentrated primarily during peak hours, notably from 7:00 a.m. to 10:00 a.m. and 6:00 p.m. to 10:00 p.m., resulting in substantial demand surges during both morning and evening periods. Such uncoordinated charging patterns pose potential challenges to the stability and economic efficiency of power systems. As vehicle-to-grid (V2G) technology advances, facilitating bidirectional energy exchange between EVs and smart grids, the need for optimized control of EV charging and discharging behaviors has become critical to achieving effective peak shaving and valley filling in the grid. This paper proposes a microgrid energy scheduling optimization algorithm based on existing smart grid and EV charging control technologies. The method establishes a multi-objective optimization model with EVs’ 24-h charging and discharging power as decision variables and microgrid load rate, load standard deviation, and total electricity cost as objective functions. Considering regional distribution capacity limitations, vehicle behavior patterns, and other boundary conditions, solved with the non-dominated sorting genetic algorithm (NSGA-II) to obtain the local optimal pareto front distribution in order to analyze the economic performance and stability of the microgrid. This study uses field survey data for simulation calculations, taking a microgrid in a residential area in Haiyang City, Shandong Province, as an example. The results demonstrate that the algorithm can reduce the peak-to-valley difference of the power grid by 46.02%, the charging peak load by 18.96%, and the total charging cost by 35.8% under the mode of 100 EVs charging a total of 1000 kWh. The optimization model proposed in this paper, validated through simulations, can effectively guide EVs in energy scheduling, balancing the interests of both the power grid and EVs, and is suitable for the distributed management of large-scale EVs.
Fan, LongyuChen, YuxinZhang, Dacai
This research investigates how distributed energy resources (DERs) and electric vehicles (EVs) affect distribution networks. With sensitivity analysis, the research focuses on how these integrations affect load profiles. The research focuses on sizing of various DERs and EV charging/discharging strategies to optimize the load profile, voltage stability, and network loss minimization. System parameters including load profile, EV charging pattern, weather conditions, DER sizes, and electricity pricing are analyzed to quantify their individual and combined impacts on load variability. However, with increased capacity of DERs, network losses increase. A mathematical model with system and operational constraints has been developed and simulated in MATLAB Simulink environment, validation of the proposed approach in improving the load profile, and reduction in network losses, with the intermittent power generation from DERs and EV integration. Simulation result shows that optimal capacity of DERs and optimized EV integration improve the load profile, improve voltage regulation at various nodes across the distribution network and reduction in network losses considerable.
Khedar, Kamlesh KumarGoyal, Govind RaiSingh, Pushpendra
This SAE Technical Information Report (TIR) establishes the instructions for the documents required for the variety of potential functions for PEV communications, energy transfer options, interoperability, and security. This includes the history, current status, and future plans for migrating through these documents created in the Hybrid Communication and Interoperability Task Force, based on functional objective (e.g., [1] If I want to do V2G with an off-board inverter, what documents and items within them do I need, [2] What do we intend for V3 of SAE J2953, …).
Hybrid - EV Committee
It’s common knowledge that a major challenge for solar energy is how to store excess energy produced when conditions are right, like noon-time sun, so that it can be used later. The usual answer is batteries. But renewable energy resources are causing problems for the electricity grid in other ways as well. In a warm, sunny location like California, mid-afternoon had been a time of peak demand for the electric utility, but with solar it’s now a time of peak output.
Nowadays, electrification is largely acknowledged as a crucial strategy to mitigate climate change, especially for the transportation sector through the transition from conventional vehicles to electric vehicles (EVs). As the demand for EVs continues to rise, the development of a robust and widespread charging infrastructure has become a top priority for governments and decision-makers. In this context, innovative approaches to energy management and sustainability, such as Vehicle-to-Grid (V2G), are gradually being employed, leading to new challenges, like grid service integration, charge scheduling and public acceptance. For instance, the planned use scenario, the user’s behavior, and the reachability of the geographical position influence the optimal energy management strategies both maintain user satisfaction and optimize grid impact. Firstly, this paper not only presents an extensive classification of charging infrastructure and possible planning activities related to different charging scenarios but also indicates the most feasible Point of Interest (POIs) for certain energy strategies and a user’s behavior associated with POIs. Secondly, the article proposes a systematic procedure to analyze the potential location using accessible data from OpenStreetMap (OSM), considering different POIs categories and the classifications proposed above. Therefore, this methodology can support future practitioners both in the definition of the suitability of a charging geographical position for specified energy management strategies (e.g., V2G) and the best path planning for a defined charging location. Lastly, the proposed model is applied to a real case study, functional to the XL-Connect Horizon Europe project. The results proposed utilized open-source geographical data and can be obtained for other worldwide case studies.
Innocenti, EleonoraBerzi, LorenzoKociu, AljonDelogu, Massimo
The benefits of EVs are still being explored and introduced to the world. The latest is GM Energy's new bidirectional charging system. With a host of EVs on the market and more on the way, GM Energy unveiled its Vehicle-to-Home (V2H) bidirectional charging solution. The wall box and companion apps will initially be available on the 2024 Chevrolet Silverado EV First-Edition RST2. Compatibility with other vehicles under the GM umbrella will be supported in the future.
Baldwin, Roberto
Modern automotive industry field is recently moving to more electrification level, so the presence of Battery Electric Vehicles (BEVs) is constantly increasing, along with charging technology evolution. Typically, BEVs do not use a significant portion of their battery’s capacity in day-to-day travel, which means their most valuable asset, the battery, sits idle during most of its life. Vehicle to Load (V2L) feature enables the transfer of energy from vehicle to the external loads (like utility tools, dryer, camping equipment or any other electrical appliance) which is connected to the power socket present in the Power Panel to perform AC Discharging. V2L technology lets consumers get more energy from a vehicle, even when it is turned off, improving consumer appeal. Bottomline, consumers can use this on-board Power Panel like a normal portable generator. More specifically, this paper will explore a scalable V2L architecture design with on-board Smart Power Panel technology, requested to support multiple vehicle platforms across all segments, spanning from passenger cars up to Light Commercial Vehicles (LCVs), having the following innovative capabilities: Usage of on-board equipment, natively designed with the rest of vehicle electronics design (thus, reaching better functional safety performance) Leverage of existing bi-directional On-board Charger component, thus optimizing total cost No need of dedicated circuit breakers or Ground Fault Circuit Interrupt (GFCI), increasing customer convenience Moreover, this paper will also describe the operational control logic and HMI interface of such a V2L On-board Power Panel system, covering a wide technology scope (BEV, PHEV and REEV propulsion systems).
Tavella, DomenicoTolkacz, JosephKasture, ArchanaSarkar, Ashish
This article presents a technical study on the integration of hybrid renewable energy sources (RES) with vehicle-to-grid (V2G) technology, aiming to enhance energy efficiency, grid stability, and mitigating power imbalances. The growing adoption of RES and electric vehicles (EV) necessitates innovative solutions to mitigate intermittency and optimize resource utilization. The study’s primary objective is to design and analyze a hybrid distribution generation system encompassing solar photovoltaic (PV) and wind power stations, along with a conventional diesel generator, connected to the utility grid. A V2G system is strategically embedded within the microgrid to facilitate bidirectional power exchange between EV and the grid. Methodologically, MATLAB/Simulink® 2021a is employed to simulate the system’s performance over one day. This research addresses a critical research gap in comprehensively evaluating the synergy between hybrid RES and V2G technology within a microgrid context. The study contributes by demonstrating the potential of EVs as dynamic energy storage units, effectively mitigating the intermittency of renewable energy (RE) and supporting grid stability. This is achieved by injecting or absorbing energy to address frequency deviation events and improve power flow based on demand needs and generated power from the source. The results highlight the capability of the V2G system to optimize energy flow, regulate grid frequency, and alleviate power imbalances. Main findings underscore the significant role of V2G in enhancing grid resilience and flexibility, especially during RE fluctuations and unexpected events. Moreover, the study underscores the feasibility of achieving sustainable energy goals through the coordinated operation of hybrid RES and V2G systems.
Al-Shetwi, Ali Q.
This SAE Information Report establishes use cases for a plug-in electric vehicle (PEV) communicating with a DER Managing Entity (DME) as a distributed energy resource (DER) which is supported by SAE J2847/3. This document also provides guidance for updates to SAE J2847/2 to allow an inverter in an EVSE to use the PEV battery when operating together as either a DER or as a power source for loads which are not connected in parallel with the utility grid. Beyond these two specific communication objectives, this document is also intended to serve as a broad guide to the topic of reverse power flow (discharging) and vehicle-to-grid (V2G) technology.
Hybrid - EV Committee
Road transport is bound to play a major role in the imminent transition to green energy. India has pledged to reach net-zero greenhouse gas emissions by 2070 at the COP26 [1] and is committed to have 30% electric vehicle (EV) sales by 2030 [2]. The Indian government is promoting fleet electrification through initiatives like FAME–II. India’s EV market is expected to grow at an annual rate of 90% between 2022 and 2030 [3]. With this projection combined with climate targets, comes an anticipated exponential rise in renewable energy contribution to the national power grid, accompanied by a huge transport-related demand for electricity. NITI Aayog – India’s public policy think tank – and the Ministry of Power are already looking into the expansion of EV charging infrastructure in India as part of smart grid implementation. The deployment of Vehicle-to-Grid (V2G) technology as an extension of the smart charging initiative is essential for a smooth transition to renewable energy. The possibility of bi-directional energy flow between the EV battery and the power grid can be used to stabilize the grid demand curve during peak hours. This will also encourage usage of local energy sources like rooftop solar and further incentivize participation in the frequency response services market as a source of revenue for end-users and charging point operators (CPOs). In this context, this study aims to quantify the benefits of load shifting strategies and dynamic tariffs with respect to V2G charging. An EV fleet at one charging point has been investigated. This was done by making certain data assumptions (outside the current legislative purview) like start and target SoC, arrival and departure times of the EVs etc. Weather data (e.g., solar irradiation etc.) and market data, wherever available from open-source platforms have been aggregated and used. Cost minima are achieved by a combination of peak shaving, rooftop solar self-consumption, and participation in energy markets. Relative to grid-compliant charging, the simulation results show a significant (~28%) cost reduction using the V2G smart charging algorithm.
Sandhu, RoubleCao, XinyuanFaßbender, MaxSchade, ThomasEmran, AshrafAndert, JakobXia, FeihongSharma, Vijay
With increase in number of EVs on Indian roads, poised EV makers to produce innovative and pragmatic concept of electric vehicle features. The concept of bidirectional charging is one of that and which is creating buzz and curiosity among EV buyers. The bidirectional charging enables EV owners to lend the power to grid, other vehicles or use for other auxiliary applications. This paper focuses on idea of vehicle-to-vehicle (V2V) level 1, level 2 AC charging using J1772 standard, and level 3 DC fast charging using ISO 15118 or DIN 70121. where one user can lend a range of few kilometers to other based on requirement as a helping hand. This paper proposes a new idea which enable vehicle-to-vehicle (V2V) charging using ISO 15118, DIN70121 and J1772 protocol. In V2V charging, source vehicle shall function as a mobile charging source (EVSE) and other shall function as a sink (EV). The idea of making source vehicle as charging station involves sink vehicle authentication and managing the power flow. This paper discusses the overall system level architecture involving need of mobile or remote charging, sources vehicle willingness, V2V authentication, charging request, power flow control, and charging execution.
Kumar, RohitPenta, AmarVenugopal, Karthick BabuSahu, HemantArya, Harshita
Electric vehicles (EV) are an effective eco-friendly means of transportation due to the increased use of batteries for energy storage. Additionally, they connect with electricity grids by supplying power and managing the charging rate to achieve quicker charging times. Owing to their ability to operate in a Grid-to-Vehicle (G2V) and Vehicle-to-Grid (V2G) mode, electric vehicles can fulfil this task by supplying bidirectional power flow to tackle the various challenges associated with faster charging and introducing additional services to the grid. Maintaining a stable output voltage and current during the energy exchange process is a crucial factor in these systems. To overcome this challenge, the proposed system employs a bi-directional buck-boost converter (BBBC) with a sophisticated control strategy that considers the current State of Charge (SoC) of the storage system. This BBBC enables bidirectional energy transfer between the power grid and the vehicle's energy storage system, which is typically a battery. The output voltage and the corresponding current can be precisely regulated in accordance with the energy levels in the system using this strategy, ensuring a smooth and efficient energy exchange process.
R, UthraJena, SwetaparnaMajeed, SalmanAgarwal, Janvhi
This SAE Recommended Practice establishes the communication for the variety of potential functions for plug-in electric vehicle (PEV) customers. This includes features for use case items in SAE J2836/3 that may be PEV/customer optional equipment, such as AC vehicle-to-load (V2L) and AC vehicle-to-vehicle systems. These systems conform to SAE J1772 with variations required to identify to the PEV bidirectional onboard charger (OBC) the mode of operation changes and output requirements. SAE has published multiple documents relating to PEV and vehicle-to-grid (V2G) interfaces. The various document series are listed below, with a brief explanation of each. Figure 1 shows the sequencing of these documents and their primary function (e.g., the SAE J2836 and SAE J2847/1 documents start with smart charging, SAE J2836 and SAE J2847/2 then adds DC charging, etc.). The intent is to have subsequent slash sheets complement each other as more functions and features are included. The /6 series of documents add wireless charging items not already included in the proceeding slash sheets. These are all then included in Interoperability in SAE J2953 and security in SAE J2931/7. SAE J3072 then includes the PEV to grid requirements for V2G power and communication to match the SAE J2836/3 use cases.
Hybrid - EV Committee
In the context of the race toward minimum road transportation carbon dioxide (CO2) emissions, the needs for tools comparing various powertrain options are of the highest importance. Various authors have demonstrated the necessity to take into account the full life cycle assessment (LCA), a simplified tank-to-wheel calculation being unsatisfactory in providing guidance regarding the optimized technological choices depending of variables manufacturing and operating conditions. There are several examples to be found in the literature but they have been found to be very specific to most of their assumptions (e.g., vehicle models, electricity carbon intensity for usage or production, etc.). This paper focuses first on possibly to establish a more general model and relative graphic tool to compare carbon foot print of various powertrains with incremental electrification levels of light-duty vehicles (spark ignition engine, full hybrid, plug-in hybrid, and battery electric vehicle), enabling to choose relevant parameters for the production and the usage of the vehicles. As expected, the level of electrification is identified as a key parameter of the overall vehicle carbon footprint. However, electrifying the fleet represents a major challenge for the electricity generation system and grid, requesting detailed analysis. That’s the subject of the second part of the study, which also proposes a graphic way of analyzing the situation. Examples are being provided for European countries with different energy strategy (i.e., France and Germany), including a tentative to consider the possibilities offered by vehicle to grid (V2G) to overcome intermittency nature of ReNeWable energy sources (RNW) such as PhotoVoltaic solar (PV) and wind turbines (WIND).
Hébert, Guillaume
This SAE Technical Information Report SAE J2931/4 establishes the specifications for physical and data-link layer communications using broadband Power Line Communications (PLC) between the plug-In electric vehicle (PEV) and the electric vehicle supply equipment (EVSE) DC off-board-charger. This document deals with the specific modifications or selection of optional features in HomePlug Green PHY v1.1 (HomePlug GP1.1) necessary to support the automotive charging application over Control Pilot lines as described in SAE J1772™. PLC may also be used to connect directly to the Utility smart meter or home area network (HAN), and may technically be applied to the AC mains, both of which are outside the scope of this document.
Hybrid - EV Committee
This SAE Recommended Practice SAE J2953/2 establishes the test procedures to ensure the interoperability of Plug-In Vehicles (PEV) and Electric Vehicle Supply Equipment (EVSE) for multiple suppliers.
Hybrid - EV Committee
CASE VP Jay Joseph outlines dramatic cost reductions in fuel-cell systems, the move into stationary power, and new models for mobile and residential energy. Is the long-promised “hydrogen economy” still 15 years away, as it reportedly has been for… more than 15 years? Or is it just around the corner? SAE Media traveled to Honda's U.S. campus in Torrance, California, to see the company's latest progress. This was the introduction of Honda's zero-emission stationary fuel-cell power station, which now is in service as a backup power source for the company's data center. Honda's FCX was the the world's first production fuel-cell vehicle when it debuted in 2002. Since then the company's hydrogen developments have continued. Honda began collaborating on fuel-cell systems in 2013 and the two OEMs share a fuel-cell manufacturing joint venture. The Torrance event also presented the opportunity to speak with Jay Joseph, Honda's VP of Connected, Autonomous, Shared and Electrified (CASE) technologies. Our interview began with a focus on the new fuel-cell power station, which repurposes fuel-cell stacks from Honda Clarity FCVs and has an approximate generating capacity of 500 kW. Highlights of our conversation follow.
Dinkel, John
The purpose of this paper is to make quantitative analysis on the effect of demand side optimization, especially on the reduction of CO2 emission realized by optimizing charging and discharging schedule of battery electric vehicles (BEVs), or by optimized Vehicle-to-Grid (V2G) operations. BEV optimization model is incorporated into the existing electricity supply-demand model to study how the introduction of BEVs make differences on a power system operation, composition of power generation and CO2 emission on the power supply side. Three cases of BEV operation are studied, 1) dumb charging without optimization, 2) optimization of charging, 3) optimization of charging and discharging with Vehicle-to-Grid operations. Analysis is also made on how de-carbonization of the supply side will make differences by studying the case of 2035 and 2040 in addition to 2030, the target year of Japan’s new national energy plan. The analysis showed that, as an important use case of a demand side optimization, BEVs will contribute to the reduction of CO2 emission in Japan by elaborately coordinating the introduction process of BEVs with the de-carbonization of the power supply side and with the degree of development of social environment to realize the demand side optimization.
Honda, AtsuoOgimoto, KazuhikoIwafune, YumikoAzuma, Hitoshi
Connected vehicles have the potential to transform the way we commute and travel in a multitude of ways. Vehicles will cooperate and coordinate with each other to solve problems appropriate for the environment in which they are operating. In this paper, we focus on the development of test equipment that includes the infrastructure and vehicles to measure and record all of the information necessary to quantify the performance of cooperative driving algorithms in realistic scenarios. The system allows tests to include real vehicles on the track and virtual vehicles in a digital twin. Real and virtual vehicles interact through the road-side units and test facility network, allowing each test vehicle to receive messages from virtual vehicles as well as the infrastructure. Messages transmitted from the test vehicles are received in the digital twin, allowing the real vehicle to interact with virtual vehicles. This provides the capability to test algorithms in congested traffic without the expense and risk of conducting tests with many cars. The system is shown to allow for real-time operation of connected vehicles in closed loop operation using industry standard networks, along with a protocol for centralized traffic management, which is not currently standardized. Tests have been performed at highway speeds. The architecture has a low barrier to entry application programming interface for its vehicle to infrastructure network that utilizes the Robotic Operating System interface. The paper describes the development and integration of components and protocols, characterization of the network performance, methods for recording data referenced to a single clock, and demonstration of the repeatability of measurements made on test vehicles. The discussion at the end of the paper looks at current research on the impact of cooperative driving algorithms on energy efficiency and traffic flow.
Buller, WilliamChase, RichardPaki, Joseph E.Dudekula, Ahammad BashaNaber, JeffreySarkar, Reuben
Interoperability and ‘smart’ energy management are vital for meeting EV charging demand. The clock is ticking for the automotive industry to meet looming “greener” energy deadlines, which will come into effect at the end of the decade. Achieving widescale adoption of electric vehicles (EVs) and meeting the mandates will require significant changes. One area that needs more attention is how to power the transition to an electric future. With the demand for electricity expected to grow nearly 20% by 2050 due to EVs and other clean tech initiatives, the grid is under immense pressure. With the aging infrastructure already creaking, expecting it to support this growth is not feasible using the established electricity value chain: generation, transmission, distribution, and consumption. Successfully powering the transition requires utilities and the broader ecosystem to collaborate and look at energy capacity in new ways.
Goetzl, Thomas
Transportation electrification is much needed as it can help to reduce the consumption of petroleum fuels. At the same time importance of the charging system to energize electric vehicles is also growing. Currently AC level 1 charging (120V, <2KW) and AC level 2 Charging (240V, <10KW) are used to charge the electric vehicle in residential and workplaces. The off-board chargers have significance as they can charge the vehicles in less time like gas/petrol stations. These off-board charging stations are comprised of two power conversion stages. One is for the rectification process along with power factor correction to obtain DC output from the input utility grid and DC/DC stage to get the regulated DC voltage from the rectifier output. One can reduce the charging time by increasing the output charging power at the power conversion stage. Hence, the present work deals with a novel DC-DC converter topology for fast charging applications and the novelty lies in the Electric vehicle charging system with a reduced number of switches along with a modified voltage lift switched inductor to get more output power. The proposed converter is tested through the simulation and validated through the hardware prototype. The increase in voltage gain conversion validation recommends the proposed converter to solar PV array driven battery charging applications and is well suitable for Vehicle to Grid (V2G) and Grid to Vehicle (G2V) applications.
R.L., JosephineSelvan, V. Arul MozhiR, Bhanu PrakashArunachalam Rajesh, Jashwanth
The integration proposed by the microgrid is especially addressed to those types of resources that can be defined as renewables energy resources. Due to the decarbonization process that is involving many sectors, among which, the mobility sector, electric vehicles (EVs) can be considered a challenging way to less pollute the environment, and at the same time, they can be viewed as mobile energy storage systems. This paper considers an islanded microgrid (MG) structure, where, in addition to the presence of energy conversion from renewable and fossil sources, the connection of EV is envisaged. Their presence makes it possible to take advantage of vehicle-to-grid (V2G) technology for the frequency regulation service. The MG system is simulated in a MATLAB / Simulink environment and, considering a day of variable time, four case studies are carried out, varying the number of EVs connected to the system. The results of the simulations show how EVs provide a valid aid to frequency regulation, given their rapid response, in terms of injection or absorption, to variations in the power fed into the MG from renewable sources. However, the number of EVs connected to the MG must be sized according to the powers involved; an excessive number of vehicles available for regulation does not always benefit the system.
De Santis, MicheleFederici, Leonardo
The article presents the results of an experimental analysis of the possibility of gaining electricity to external loads from the Hybrid Electric Vehicle powertrain. The tests were carried out on a vehicle with a series-parallel hybrid drive system, where a mode of charging a battery at standstill is possible. The analysis was aimed at determining the feasibility of using a hybrid vehicle as a stationary source of electricity in the Vehicle-to-Load, Vehicle-to-Home, and in emergency applications even as Vehicle-to-Grid application. The tests consisted in loading the High-Voltage battery of the car with an external load of several different values. In the first approach, receivers intended for 230V AC power were used, but also tolerant to DC power supply with a voltage in the range of 200-250V. The operating parameters of the vehicle's hybrid drive system were recorded, as well as the amount of energy supplied to the receivers from the system. Particular attention was paid to the behavior of the cooling system of the vehicle systems. The analysis showed that without interfering with the operation of the vehicle's electronic controllers, it is possible to deliver energy to an external energy receiver. In the analyzed range of load changes, no malfunction of the hybrid system was recorded. As a result of the work carried out, the directions for further work on the system were defined.
Noga, Marcin
This SAE Information Report J2931/6 establishes the requirements for physical and data link layer communications between Plug-in Electric Vehicles (PEV) and the Electric Vehicle Supply Equipment (EVSE).
Hybrid - EV Committee
This paper explores the efficacy and efficiency of a system for the effective location of electric gridlines during daytime and night-time by the onboard and offboard transceivers of UAV through vehicle to infrastructure communication. The usage of electric gridlines in urban areas helps to extend the range of the UAVs by charging the onboard battery using an extended arm. The same arm can also be used for direct propulsion of the motors onboard UAV, thereby minimizing the reliance on battery. UAVs with advanced Image processing algorithms are utilized in the inspection of the electric grid lines themselves in the Power industry. The camera based algorithms are not effective during night-time when the gridlines are near invisible. This can be mitigated by evaluating light in other spectral ranges, but this would add to the load of the UAV. We propose a system which combines multiple information sources and helps locate the gridlines for range extension, specifically for the delivery of packages in the Urban Mobility domain. The system utilizes annotated maps for locating any electric grid lines in the vicinity. The finer control needed for placing the extension arm on live electric wire is done using a set of three radio transceivers installed on an electric pole and a double or triple transceiver configuration onboard UAV which locates the live-wire through deductive analysis of sensor data. The trajectory planning subsystem can utilize this information for establishing an efficient route and make multiple deliveries.
Pappala, Lokendra Pavan KumarEnagandula, SrujanManoharan, Sandeepkumar
By utilizing the vehicle to infrastructure communication, the conventional Green Light Optimized Speed Advisory (GLOSA) applications give speed advisory range for drivers to travel to pass at the green light. However, these systems do not consider the traffic between the ego vehicle and the traffic light location, resulting in inaccurate speed advisories. Therefore, the driver needs to intuitively adjust the vehicle's speed to pass at the green light and avoid traffic in these scenarios. Furthermore, inaccurate speed advisories may result in unnecessary acceleration and deceleration, resulting in poor fuel efficiency and comfort. To address these shortcomings of conventional GLOSA, in this study, we proposed the utilization of collaborative perception messages shared by smart infrastructures to create an enhanced speed advisory for the connected vehicle drivers and automated vehicles. Two different algorithms were designed by utilizing the available traffic preview (Signal Phase and Timing (SPAT), MAP, and Collaborative Perception Messages), predicted traffic preview from these messages, and measurements from onboard range sensors. While in the first algorithm, the vehicle is controlled with a rule-based approach, a reinforcement learning-based approach is used in the second algorithm. The designed algorithms are then simulated in a simulation environment created in a MATLAB Simulink. Our simulation results demonstrated the effectiveness of the developed algorithms with better fuel efficiency performance and more comfortable ride performance.
Cantas, Mustafa RidvanSurnilla, GopichandraSommer, Martin
As the number of electric vehicles (EVs) within society rapidly increase, the concept of maximizing its efficiency within the electric smart grid becomes crucial. This research presents the impacts of integrating EV charging infrastructures within a smart grid through a vehicle to grid (V2G) program. It also observes the circulation of electric charge within the system so that the electric grid does not become exhausted during peak hours. This paper will cover several different case studies and will analyze the best and worst scenarios for the power losses and voltage profiles in the power distribution system. Specifically, we seek to find the optimal location as well as the ideal number of EVs in the distribution system while minimizing its power losses and optimizing its voltage profile. Verification of the results are primarily conducted using GUIs created on MATLAB. These simulations aim to develop a better understanding of the potential impacts of electric vehicles in energy systems, such as power losses and voltage profile, which affect the power quality and cost of energy for utility companies and electric vehicle users.
Majumdar, MaitreyeeSpencer, DeltonArefifar, Seyed Ali
Economic Impacts of Vehicle-to-Grid Technology implementation for the Consumers in Brazil2021-36-00682/4/2022
This article aims to analyze the potential economic effects for consumers with the implementation of the Vehicle-to-Grid (V2G) and the Vehicle-to-Home (V2H) networks in Brazil. Nowdays, the usage of both technologies in Brazil are at a regulatory vacuum for both Battery Electric Vehicles (BEVs), Plug-in Hybrid Electric Vehicles (PHEVs) and Hybrid Electric Vehicles (HEVs). Usually, when a legislation lack occurs, the local OEMs adopt IECs (International Electrotechnical Commissions) and/or SAEs (Society of Automotive Engineers) reference international standards, such as SAE J1634 for range test. For the purposes of this study, the possibility of using car batteries as generator systems connected to the power grid will be considered as an activity that will be regulated as similar as determined by normative resolution 482 of the National Electric Energy Agency (ANEEL), since the same regulates the use of wind and solar generators acting in parallel with the grid, whether or not they can count on energy storage systems. As the adoption of this technology, currently regulated by SAE J2847/3, also depends on the existence of specific rules for each country, made for the inherent peculiarities of each energy generation / distribution network, institutions such as ANEEL need to start developing them in order to not delay the arrival of the V2G in Brazil. In the evaluated scenarios, considering that a consumer could recharge his car in hours of cheaper tariffs and give back this energy to the grid in peak hours, the consumer may obtain financial benefits for it.
Cruz, LucasSantos, RafaelCosta, Roberto
Cryptographic verification method for an emergency vehicle to non-emergency vehicle communicationSAE-PP-002312/1/2022
An emergency vehicle is one of the critical vehicles designed by the Original Equipment Manufacturers (OEMs) to support the emergency assistance and maintenance for different emergency situations such as fire, health, etc. These vehicles are provided a special provision by the legal authorities to bypass the road traffic scenarios and guidelines. The special provisions mainly include a co-operation of the non-emergency vehicles on the road for providing a smooth provision for the emergency vehicles to move, bypassing of traffic signals, etc. Sometimes, the intruders utilize these provisions to hide their original identities by utilizing the emergency vehicles for their transportation. The vehicles utilized by intruders for this purpose are the illegitimate ones, which are carried by attackers for illegal purposes, but they possess the same external appearances and special alerting system as the legitimate emergency vehicles. Hence, these fake vehicles pose a serious challenge to the legal authorities as well as the other vehicles on the road who got fooled by assisting them using their special co-operative assistance system. In this regard, here an approach is proposed to detect these emergency fake emergency vehicles using the cryptography verification associated vehicular communication system. In the proposed system, the non-emergency vehicles verify the authenticity with the emergency vehicles using the cryptographic verification over the Vehicle to Vehicle (V2V) channel before assisting them for emergency movement. Finally, the proposed system help the non-emergency vehicles by not assisting the intruder emergency vehicles and by assisting the legitimate vehicles on the road infrastructure.
Ansari, AsadullahD H, SharathP.C., KarthikUddin, SaifAziz, MohammadAdlagadda, Divakar
Bi-directional charging is a value-added feature that seems certain to help accelerate EV adoption. Although other automakers have talked about the potential for electric vehicles (EVs) to use their increasingly powerful batteries for purposes beyond propelling the vehicle, it was Ford that brought the capability known as bi-directional charging to prominence when it revealed details of its new F-150 Lightning last May. A subsequent high-visibility marketing campaign dramatically showed the Lightning using its bi-directional charging capability to power a sizeable home during a power outage. Now, just months before the Lightning hits dealer showrooms, the outsized response to the Lightning - Ford has twice doubled the truck's projected annual production volume to a current 150,000 units - and the gee-whiz nature of its Intelligent Backup Power capability may accelerate the industry's march toward bi-directional charging as a standard feature for most EVs. Although there is specific hardware and software required on both sides of the charging cable to derive the benefits of the so-called vehicle-to-grid (V2G) capability, none of it requires a deal-breaking investment for either OEMs or consumers. And fast-moving innovations in onboard power electronics - particularly the vital AC/DC inverters that are at the heart of bi-directional capability - promise to reduce costs and broaden possibilities.
Visnic, Bill
This SAE Information Report SAE J2836/5 establishes the Use Cases for communications between plug-in electric vehicles (PEVs) and their customers. The Use Case Scenarios define the information to be communicated related to customer convenience features for charge on/off control, charge power curtailment, customer preference settings, charging status, EVSE availability/access, and electricity usage. Also addresses customer information resulting from conflicts to customer charging preferences. This document only provides the Use Cases that define the communications requirements to enable customers to interact with the PEV and to optimize their experience with driving a PEV. Specifications such as protocols and physical transfer methods for communicating information are not within the scope of this document.
Hybrid - EV Committee
This SAE Recommended Practice provides common data output formats and definitions for a variety of data elements that may be useful for analyzing the performance of automated driving system (ADS) during an event that meets the trigger threshold criteria specified in this document. The document is intended to govern data element definitions, to provide a minimum data element set, and to specify a common ADS data logger record format as applicable for motor vehicle applications. Automated driving systems (ADSs) perform the complete dynamic driving task (DDT) while engaged. In the absence of a human “driver,” the ADS itself could be the only witness of a collision event. As such, a definition of the ADS data recording is necessary in order to standardize information available to the accident reconstructionist. For this purpose, the data elements defined herein supplement the SAE J1698-1 defined EDR in order to facilitate the determination of the background and events leading up to a collision in an ADS-operated vehicle. The data elements defined in this document are unique to Level 3, 4, or 5 ADS features, as defined by SAE J3016, and provide additional background of the events leading up to a crash or crash-like event. The data from sensors such as camera(s), LiDAR(s) etc. will provide information in the absence of a human driver. The data included in the ADS data logger is expected to be used in conjunction with the SAE J1698 event data recorder (EDR) record and traditional accident reconstruction analysis. The EDR and ADS data logger will capture information leading up to the triggered event, at a minimum. There are no facts to support that recording data for greater than 5 seconds pre-event would change the outcome of any crash analysis. Thus, the recommended recording duration for a data logger is 5 seconds pre-event, same as an EDR. Due to the potential for sensor and/or communication failure during a crash event, the recommendation is that data should be collected post-crash for impact and rollover sensors for up to 250 ms. ADS technology is still being developed and is not yet commercially deployed. Therefore, this SAE Recommended Practice is intended as a guide toward standard practice and is subject to change to keep pace with experience and technical advances.
Event Data Recorder Committee
This SAE Information Report SAE J2836/6 establishes use cases for communication between plug-in electric vehicles and the EVSE for wireless energy transfer as specified in SAE J2954. It addresses the requirements for communications between the on-board charging system and the wireless EV supply equipment (WEVSE) in support of detection of the WEVSE, the charging process, and monitoring of the charging process. Since the communication to the charging infrastructure and the power grid for smart charging will also be communicated by the WEVSE to the EV over the wireless interface, these requirements are also covered. However, the processes and procedures are expected to be identical to those specified for V2G communications specified in SAE J2836/1. Where relevant, the specification notes interactions that may be required between the vehicle and vehicle operator, but does not formally specify them. Similarly, communications between the on-board charging sub-system and the on-board vehicle electronics is not formally specified in this document. This document will be published as a set of steps. The intent of step 1 was to record as much information on “what we think works” and publish. The intent of step 2 is to provide refinement and missing pieces to step 1, with a an eye to early testing. This version is step 2, with the aim of providing a communication protocol for home chargers.
Hybrid - EV Committee
The core idea of advanced eco-driving is to optimize the vehicle’s speed and acceleration profile from the energy point of view using real-time data from the vehicle to vehicle (V2V) and vehicle to infrastructure (V2I). However, the main assumption of most of the existing advanced eco-driving approaches is that vehicles are maintained on a single-lane road that considers only the longitudinal motion of the vehicle. In multi-lane roads, controlling the lateral movement of the vehicle or the dynamic lane-changing along with the longitudinal movement can have a positive effect on traffic flow, travel time, fuel economy, and exhaust emission of the vehicle. This paper presents a bi-level model predictive control strategy for connected and automated hybrid electric vehicles (CAHEVs) to optimize inter-vehicle safety, energy-saving, and emission reduction while considering both the lateral and longitudinal motions of the vehicle. The proposed control strategy consists of two control levels: 1) the calculation and optimization of the power distribution between the internal combustion engine and an electric motor, which is referred to as the low-level control, and 2) the optimization of the vehicle speed profile, which is the high-level control. Both levels are used to control the longitudinal motion of the vehicle. Lateral motion or lane changing decision is controlled in another control layer based on the energy consumption prediction on each lane. The proposed control strategy is evaluated under different driving conditions in a realistic urban traffic simulation environment in SUMO. Simulation results show a 6.18 % reduction in the fuel economy while the state of charge of the battery maintained in the standard range and 5.94%, 5.01%, and 5.09% decrease in hydrocarbon (HC), carbon monoxide (CO), nitrogen oxides (NOx) respectively compared to the bi-level MPC-based controller without lane-changing approach.
Khosravinia, KavianWang, SiyangLin, Xianke
This work illustrates the potential of Electric Vehicles (EVs) as a grid support tool that will lower carbon emissions from both the energy production sector and the transportation sector. EVs can provide peak shaving power to the grid while discharging and valley filling power while charging to flatten the total load curve of a distribution system. The idea is called Vehicle to Grid (V2G). Flattening the load curve will allow utility providers to delay upgrading, or the purchase of new power generation stations, as well as best utilize renewable energy resources that may be uncontrollable in nature. Electrical energy production and transportation combined accounted for 2,534 million metric tons of carbon dioxide emissions in the US in 2019. Utilizing EVs for transportation as well as grid support will decrease this figure in each sector. This technology may pave the way to cleaner, more reliable, cost effective energy systems. To achieve the goal of illustrating the potential of EVs benefits to a power system, a model will be created using MATLAB and several case studies will be presented. A well-known distribution system model will be utilized and several of the most popular EVs parameters are chosen for testing. Because of the stochastic nature of EVs, a probabilistic approach will be applied to multiple simulation parameters to ensure the most realistic result is found.
Pfeiffer, BradlyAlam, Md ShahinArefifar, Seyed Ali
Electric vehicles (EVs) are critical to the transition to a low-carbon transportation system. The successful adoption of EVs heavily depends on energy consumption models that can accurately and reliably estimate electricity consumption. This article reviews the state of the art of EV energy consumption models, aiming to provide guidance for the future development of EV applications. We summarize influential variables of EV energy consumption in four categories: vehicle component, vehicle dynamics, traffic, and environment-related factors. We classify and discuss EV energy consumption models in terms of modeling scale (microscopic vs. macroscopic) and methodology (data driven vs. rule based). Our review shows trends of increasing macroscopic models that can be used to estimate trip-level EV energy consumption and increasing data-driven models that utilize machine learning technologies to estimate EV energy consumption based on a large volume of real-world data. We identify research gaps for EV energy consumption models, including the development of energy estimation models for modes other than personal vehicles (e.g., electric buses, trucks, and nonroad vehicles), energy estimation models that are suitable for applications related to vehicle-to-grid integration, and multiscale energy estimation models as a holistic modeling approach.
Chen, YucheWu, GuoyuanSun, RuixiaoDubey, AbhishekLaszka, AronPugliese, Philip
An Electric Vehicle Onboard Microgrid with Solar Panel for Battery Module Balancing and Vehicle-to-Grid Applications14-10-02-00113/29/2021
This article proposes an electric vehicle (EV) onboard microgrid for battery module balancing and vehicle-to-grid (V2G) applications. The proposed microgrid is formed by an onboard photovoltaic (PV) system, a bidirectional charger, an auxiliary power module (APM), and selection switches. The system is designed to use solar energy if available for battery balancing by supporting the battery modules with low state-of-charge (SOC) during driving or charging. During charging, when the battery pack is fully charged, the PV system is disconnected from the battery and delivers the solar power to the grid. When the number of these PV-assisted EVs is big enough, they can work together as an aggregated virtual solar farm with energy storage. When there is no solar energy available, the battery management system is able to use the APM for battery management. Simulation-based case studies with recorded solar irradiance data in Detroit, Michigan, show that the virtual solar farm with 10,000 EVs can generate 0.7 MW peak power and 2,953 kWh energy on a sunny winter day, and 1 MW peak power and 5,190 kWh energy on a sunny summer day. The actual experiments verify that the proposed system can perform the designed functions and automatically switch among the required operating modes.
Duan, ChenZhao, ZhongyangWang, CaishengChen, JianfeiLiao, Matt
Current-Sensing Techniques for Revenue Metering and for Detecting Direct Current Injection from Electric Vehicles: A Review14-10-02-00103/18/2021
Contemporary power networks increasingly include distributed generation and storage, which must follow interconnection standards to ensure power quality and grid safety. One such standard is IEEE 1547-2018, “Limitation of DC injection.” Any poorly designed or malfunctioning power converter can inject DC, but high power converters, such as those used for electric vehicle (EV) chargers, are a proportionally larger concern. We propose that electric vehicle supply equipment (EVSE) be responsible for monitoring the DC injection level in AC current to and from EV on-board inverters to be compliant with IEEE 1547-2018 despite any on-board equipment failure. Another function of the EVSE is high-precision AC measurements for revenue metering. Due to mass production of EVSE, it is important to integrate DC injection detection into EVSE system cost-effectively. Therefore, it is advantageous for AC and DC injection to be measured with a single device. Due to inability of the most common revenue metering system to detect DC, a new system with AC and DC measuring capabilities needs to be designed. The important design challenge is the large (two orders of magnitude) differences of measured AC vs. DC quantities on the same line. This article introduces the DC injection problem in relation to EVs and provides a review of commonly used current-sensing techniques to evaluate the most promising candidates for the aforementioned system design.
Mironenko, OlgaKempton, WillettKiamilev, Fouad
With the development of autonomous driving technology, China, based on its national conditions and existing advantages, has clarified the technological development path of Vehicle-to-Infrastructure cooperation system to realize a series of high-end auton omous driving functions such as network-wide dispatching and beyond visual range perception. Compared with the design of the existing cloud control platform, this article clarifies that the expressway operation management unit is the service object. The functional architecture and technical architecture of the cloud control platform are derived through the combing of car-road collaborative application scenarios. Various data resource items are refined, the driving speed threshold is clearly suggested, and the key control data items and equipment collaborative control party are listed according to the traffic flow merging in the ramp to improve road management and control capabilities to achieve the goals of safety, convenience, efficiency, greenness and economy.
Li, YanYang, ShuTang, SuisuiWang, XingyuChen, Feng
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