Browse Topic: Vehicle integration
In both internal combustion engine (ICE) and electric vehicles, Heating, Ventilation, and Air Conditioning (HVAC) systems have become significant contributors to in-cabin noise. Although significant efforts have been made across the industry to reduce noise from airflow handling systems, especially blower noise. Nowadays, original equipment manufacture’s (OEMs) are increasingly focusing on mitigating noise generated by refrigeration handling systems. Since the integration of refrigeration components is vital for the overall Noise Vibrations and Harshness (NVH) refinement of a vehicle, analysing the impact of each HVAC component during vehicle-level integration is essential. This study focused on optimizing the NVH performance of key refrigeration components, including the AC compressor, thermal expansion valve (TXV), suction pipe, and discharge line. The research began with a theoretical investigation of the primary noise and vibration sources, particularly the compressor and TXV
Thermal Management System (TMS) for Battery Electric Vehicles (BEV) incorporates maintaining optimum temperature for cabin, battery and e-powertrain subsystems under different charging and discharging conditions at various ambient temperatures. Current methods of thermal management are inefficient, complex and lead to wastage of energy and battery capacity loss due to inability of energy transfer between subsystems. In this paper, the energy consumption of an electric vehicle's thermal management system is reduced by a novel approach for integration of various subsystems. Integrated Thermal Management System (ITMS) integrates air conditioning system, battery thermal management and e-powertrain system. Characteristics of existing integration strategies are studied, compared, and classified based on their energy efficiency for different operating conditions. A new integrated system is proposed with a heat pump system for cabin and waste heat recovery from e-powertrain. Various cooling
This research is dedicated to exploring the application of large language models in the Beijing Subway scientific research project management platform. It conducts a thorough analysis of many key elements, including the application background, technical support, practical achievements, and future development paths. With the continuous development of the Beijing Subway construction scale, the number and complexity of scientific research projects have been gradually increasing. Traditional management models are getting more and more insufficient in dealing large amounts of data, complicated processes, and precise decision-making requirements. By using natural language processing, machine learning, knowledge graph pedigreestechnological and technical model related technologies, which are very different from the one of the most inventive ones, are presented. The objective of intelligence is to solve this model by automatically analyzing papers with a logical and scientific approach and
Ground vehicle software continues to increase in cost and complexity, in part driven by tightly integrated systems and vendor lock-in. One method of reducing costs is reuse and portability, encouraged by the Modular Open Systems Approach and the Future Airborne Capability Environment (FACE) architecture. While FACE provides a Conformance Testing Suite to ensure portability between compliant systems, it does not verify that components correctly implement standard interfaces and desired functionality. This paper presents a layered test methodology designed to ensure that a FACE component correctly implements working communication interfaces, correctly handles the full range of data the component is expected to manage, and correctly performs all of the functionality the component is required to perform. This testing methodology includes unit testing of individual components, integration testing across multiple units, and full hardware in the loop system integration testing, offering a
This paper presents a model-based systems engineering (MBSE) and digital twin approach for a military 6T battery tester. A digital twin architecture (encompassing product, process, and equipment twins) is integrated with AI-driven analytics to enhance battery defect detection, provide predictive diagnostics, and improve testing efficiency. The 6T battery tester’s MBSE design employs comprehensive SysML models to ensure traceability and robust system integration. Initial key contributions include early identification of battery faults via impedance-based sensing and machine learning, real-time state-of-health tracking through a synchronized virtual battery model, and streamlined test automation. Results indicate the proposed MBSE/digital twin solution can detect degradation indicators (e.g. capacity fade, rising internal impedance) earlier than traditional methods, enabling proactive maintenance and improved operational readiness. This approach offers a reliable, efficient testing
Engineering precision is an art of nuance — especially when it comes to selecting the right bearing for medical devices. What begins as a straightforward specification process quickly becomes a complex yet familiar puzzle of competing requirements. Oftentimes, engineers discover that a bearing’s performance extends beyond its basic dimensional specs, involving considerations of material properties, system integration and supply chain dynamics.
The automotive subframe, also referred to as a cradle, is a critical chassis structure that supports the engine/electric motor, transmission system, and suspension components. The design of a subframe requires specialized expertise and a thorough evaluation of performance, vehicle integration, mass, and manufacturability. Suspension attachments on the subframe are integral, linking the subframe to the wheels via suspension links, thus demanding high performance standards. The complexity of subframe design constraints presents considerable challenges in developing optimal concepts within compressed timelines. With the automotive industry shifting towards electric vehicles, development cycles have shortened significantly, necessitating the exploration of innovative methods to accelerate the design process. Consequently, AI-driven design tools have gained traction. This study introduces a novel AI model capable of swiftly redesigning subframe concepts based on user-defined raw concepts
Automotive chassis components are considered as safety critical components and must meet the durability and strength requirements of customer usage. The cases such as the vehicle driving through a pothole or sliding into a curb make the design (mass efficient chassis components) challenging in terms of the physical testing and virtual simulation. Due to the cost and short vehicle development time requirement, it is impractical to conduct physical tests during the early stages of development. Therefore, virtual simulation plays the critical role in the vehicle development process. This paper focuses on virtual co-simulation of vehicle chassis components. Traditional virtual simulation of the chassis components is performed by applying the loads that are recovered from multi-body simulation (MBD) to the Finite Element (FE) models at some of the attachment locations and then apply constraints at other selected attachment locations. In this approach, the chassis components are assessed
Over the decades, robotics deployments have been driven by the rapid in-parallel research advances in sensing, actuation, simulation, algorithmic control, communication, and high-performance computing among others. Collectively, their integration within a cyber-physical-systems framework has supercharged the increasingly complex realization of the real-time ‘sense-think-act’ robotics paradigm. Successful functioning of modern-day robots relies on seamless integration of increasingly complex systems (coming together at the component-, subsystem-, system- and system-of-system levels) as well as their systematic treatment throughout the life-cycle (from cradle to grave). As a consequence, ‘dependency management’ between the physical/algorithmic inter-dependencies of the multiple system elements is crucial for enabling synergistic (or managing adversarial) outcomes. Furthermore, the steep learning curve for customizing the technology for platform specific deployment discourages domain
Model-Based Systems Engineering (MBSE) enables requirements, design, analysis, verification, and validation associated with the development of complex systems. Obtaining data for such systems is dependent on multiple stakeholders and has issues related to communication, data loss, accuracy, and traceability which results in time delays. This paper presents the development of a new process for requirement verification by connecting System Architecture Model (SAM) with multi-fidelity, multi-disciplinary analytical models. Stakeholders can explore design alternatives at a conceptual stage, validate performance, refine system models, and take better informed decisions. The use-case of connecting system requirements to engineering analysis is implemented through ANSYS ModelCenter which integrates MBSE tool CAMEO with simulation tools Motor-CAD and Twin Builder. This automated workflow translates requirements to engineering simulations, captures output and performs validations. System
Automotive radar plays a crucial role in object detection and tracking. While a standalone radar possesses ideal characteristics, integrating it within a vehicle introduces challenges. The presence of vehicle body, bumper, chassis, and cables in proximity influences the electromagnetic waves emitted by the radar, thereby impacting its performance. To address these challenges, electromagnetic simulations can guide early-stage design modifications. However, operating at very high frequencies around 77GHz and dealing with the large electrical size of complex structures demand specialized simulation techniques to optimize radar integration scenarios. Thus, the primary challenge lies in achieving an optimal balance between accuracy and computational resources/simulation time. This paper outlines the process of radar vehicle integration from an electromagnetic perspective and demonstrates the derivation of optimal solutions through RF simulation.
The once rarified field of Artificial Intelligence, and its subset field of Machine Learning have very much permeated most major areas of engineering as well as everyday life. It is already likely that few if any days go by for the average person without some form of interaction with Artificial Intelligence. Inexpensive, fast computers, vast collections of data, and powerful, versatile software tools have transitioned AI and ML models from the exotic to the mainstream for solving a wide variety of engineering problems. In the field of braking, one particularly challenging problem is how to represent tribological behavior of the brake, such as friction and wear, and a closely related behavior, fluid consumption (or piston travel in the case of mechatronic brakes), in a model. This problem has been put in the forefront by the sharply crescendo-ing push for fast vehicle development times, doing high quality system integration work early on, and the starring role of analysis-based tools in
Today, the battery development process for automotive applications is relatively decoupled from the vehicle integration and system validation phase. Battery pack design targets are often disregarded at very early development phases even though they are thoroughly linked to the vehicle-level requirements such as performance, lifetime and cost. Here, AVL proposes a methodology guided by virtual testing techniques to frontload vehicle-level validation tasks in the earlier phase of battery pack testing. This paper focuses on the benefits of the methodology for both battery suppliers and automotive OEMs. Applications will be explained, based on a modular virtual testing toolchain, which involves the simulation platform and models as well as the generation of model parameters and test cases.
This standard only defines interconnect, electrical and logical (functional) requirements for the interface between a Micro Munition and the Host. The physical and mechanical interface between the Micro Munition and Host is undefined. Individual programs will define the relevant requirements for physical and mechanical interfaces in the Interface Control Document (ICD) or system specifications. It is acknowledged that this does not guarantee full interoperability of Interface for Micro Munitions (IMM) interfaces until further standardization is achieved.
A digital twin is a virtual model that accurately imitates a physical asset. This can be as complex as an entire vehicle, a subsystem, and down to a small functioning component. The digital twin has a level of fidelity that aligns to the goals of the project team. The usage of a digital twin inside a digital engineering (DE) ecosystem permits architecture and design decisions for optimized product behavior, performance, and interactions. This paper demonstrates a methodology to incorporate the digital twin concept from requirement analysis, low fidelity feature level simulation, rapid prototypes running inside a System Integration Lab, and high fidelity virtual prototypes executing in an entirely virtual environment.
The Army can increase its software modernization effort for Embedded System software development by leveraging the Cloud to expand the capability of the DevSecOps environment to include automated testing at scale. The Cloud will support the integration of current and new off-the-shelf technologies; and merging next generation technologies from industry partners into a coherent DevSecOps Cloud ecosystem. The following areas are critical to meeting mission requirements and applications: virtual simulation, trade study analytics, technology adoption, DevSecOps capabilities, artificial intelligence applications and infrastructure, and collaborative single vehicle Systems Integration Laboratory (SIL). These areas are all essential to shortening the vehicle product lifecycle and time to deliver mission essential capabilities to the field to support warfighter needs.
MOSA (Modular Open System Approach) provides a framework for efficient and sustainable design of complex integrated systems. In domain of embedded technology, the MOSA as-is does a good job in identifying modular software and hardware frameworks required to establish a common baseline for generic open architecture. On the other hand, it does not cover physical aircraft integration, integration methodology and other constituent elements essential for design of robust interfaces and integrated embedded systems, which are owned by OEMs and their suppliers. The definition of open interfaces is a key constituent in definition of MOSA-compliant architectures. An efficient system integration lifecycle requires unambiguous interfacing among hosted functions. Open interfaces and Ethernet are core system integration technologies and should be integrated and configured with other software/hardware framework elements, to enable hard RT, real-time and soft-time application hosting. The system
Upstarts and heavy-hitter suppliers alike are fast-tracking advances in existing technology - as well as radical new solutions. Electric powertrain development continues at a fervent pace as OEMs, suppliers and startups try to optimize current technology while forging ahead into new areas. Although battery engineering and development enjoys almost daily industry discussion, traction motor and power electronics remain the investment focus of many established and startup suppliers. Efficiencies gained in these systems can significantly reduce an EV's required amount of expensive battery capacity. It's a rapidly expanding market, seemingly with plenty of room for myriad new players and fresh ideas. Vitesco Technologies, the powertrain supplier spun from Continental in 2019, has committed to electrification in all future development. As a result, it generated $888 million in revenue in 2021. Thomas Stierle, head of the the company's Electrification Solutions division, said it expects
EV battery enclosures are a hotbed of subsystem design, materials innovation and vehicle integration. Whether you call them packs, boxes or trays, the structures that envelop and protect EV battery cells and their supporting electrical and thermal-management hardware are among the industry's top subsystem priorities. Optimizing the battery pack involves a host of manufacturing and material choices, mass and package tradeoffs, safety provisions and structural design/engineering challenges, OEM and supplier experts told SAE Media. “Do you want the battery pack bolted into the vehicle or integrated into the body structure?” asked Darren Womack, senior department manager, body and structures, at Magna's global R&D group. Hot stamping, cold stamping, roll-forming, hydroforming, casting and steel, aluminum, composites and thermoplastics - are all raising “lively discussions” in pack development, he noted at a recent meeting of analysts.
ABSTRACT Vehicle design today takes longer than it ever has in the past largely due to the abundance of requirements, standards, and new design techniques; this trend is not likely to change any time soon. This paper will explore how advancements in gaming engines can be leveraged to bring realistic visualization and virtual prototypes to the beginning of the design cycle, integrate subsystems earlier in the design, provide advanced simulation capabilities, and ensure that the final design not only meets the requirements but is fully vetted by stakeholders and meets the needs of the platform. The Unreal Engine and Bravo Framework can be used to bring this and more to vehicle designs to reduce design churn and bring better products to market faster. Citation: A. Diepen, O. Vazquez, A. Black, C. Gaff “Leveraging Simulation Tools to Accelerate Design,” In Proceedings of the Ground Vehicle Systems Engineering and Technology Symposium (GVSETS), NDIA, Novi, MI, Aug. 16-18, 2022.
ABSTRACT Hardware/software integrated system ensures a system will operate as intended in the same configuration it will be used in the field. Manual system testing can be a very slow and error prone process, as well as being incapable of testing interfaces that humans cannot interact with. Many existing solutions exist to introduce test hardware into the loop for verifying systems, but most of these solutions provide a separate component for each hardware interface. This paper presents an approach for a single integrated system that can test all hardware interfaces of a system under test, managed by a single controller. This test system provides the capability to abstract away the hardware being tested so a test developer can develop tests while only understanding the manual interfaces of the system being tested. We show that this approach can provide a significant acceleration to the time to execute tests, as well as improving the reliability, and consistency of the tests. Citation
ABSTRACT As U.S. Army leadership continues to invest in novel technological systems to give warfighters a decisive edge for mounted and dismounted operations, the Integrated Visual Augmentation System (IVAS) and other similar systems are in the spotlight. Continuing to put capable systems that integrate fighting, rehearsing, and training operations into the hands of warfighters will be a key delineator for the future force to achieve and maintain overmatch in an all-domain operational environment populated by near-peer threats. The utility and effectiveness of these new systems will depend on the degree to which the capabilities and limitations of humans are considered in context during development and testing. This manuscript will survey how formal and informal Human Systems Integration planning can positively impact system development and will describe a Helmet Mounted Display (HMD) case study.
This SAE Aerospace Recommended Practice recommends general criteria for the development and installation of an aircraft emergency signal system to permit any crew member (flight or cabin) to inform all other crew members that an emergency evacuation situation exists and that an evacuation has been or should be immediately started.
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