Automotive Electronic Systems Research Articles

Performance Testing and Analysis of Automotive-Grade CMOS Sensors in Different Environments

Automotive-grade Complementary Metal-Oxide-Semiconductor (CMOS) sensors play a crucial role in automotive electronic systems, especially in the context of the rapid development of Advanced Driver Assistance Systems (ADAS) and autonomous driving technologies. Their performance is directly related to the safety and reliability of vehicles. However, automobiles will face a variety of complex environmental conditions during the actual operation, such as high temperature, low temperature, vibration, humidity changes, and light changes, which may have an impact on the performance of CMOS sensors. Therefore, it is of great significance to study the performance of automotive-grade CMOS sensors in different environments.

Efficient Hybrid Electric Vehicle Power Management: Dual Battery Energy Storage Empowered by Bidirectional DC–DC Converter

ABSTRACTThis work offers a fuel cell power system with the ability to distribute power to the load from the electrical source and charge an auxiliary battery utilizing regenerative power flows created by the load. The approach is established on a bidirectional closed‐loop DC converter. A bidirectional DC–DC converter is presented as a means of achieving extremely high voltage energy storage systems (ESSs) for a DC bus or supply of electricity in power applications. This paper presents a novel dual‐active‐bridge (DAB) bidirectional DC–DC converter power management system for hybrid electric vehicles (HEVs). The proposed system makes it possible to charge an additional battery with regenerative power flows and distributes power from the electrical source to the load efficiently. The two main stages of the DAB converter, which are the focus of this work, are an interleaved buck/boost converter on the battery and a three‐phase wye‐wye series resonating converter on the DC bus. Each switch's current stress is greatly reduced by this design, which lowers transmission losses and enhances thermal performance. The interleaved buck conversion on the battery allows for lesser current stress in each switch, resulting in lower transmission loss. The increasing complexity and power of automotive embedded electronic systems have made the use of more potent power electronic converters in automobiles necessary. In recent years, many dual volt (42 V/14 V) bidirectional inverter topologies for automotive systems have been presented. However, the majority of them are either inefficient or use a huge number of transistors and magnetic devices in both parallel and series arrangements. As a result, in this study, a bidirectional high‐efficiency inverter with fewer components is provided. The design, modes of operation, and performance metrics of the DAB converter are examined, emphasizing its ability to achieve zero‐voltage switching (ZVS) and zero current switching (ZCS) throughout its operating range. The suggested system seeks to maximize EV power management, guaranteeing high dependability and efficiency. To test all of the aforementioned qualities, an evaluation version was created, with an average efficiency of 97.5%. This research could have a substantial impact on the advancement of power electronic converters for automotive applications, leading to better EV power management, increased system reliability, and increased overall efficiency.

Enhancing the Heat Dissipation Efficiency of Computing Units Within Autonomous Driving Systems and Electric Vehicles

With the rapid development of autonomous driving technology and electric vehicles, the demand for computing units in vehicles has surged, particularly for high-density computing related to artificial intelligence, sensor fusion, and real-time data processing. This increase has posed significant heat dissipation challenges for automotive electronic systems. Effective heat dissipation is essential for ensuring system stability, safety, and extending the lifespan of these systems. This study explores the thermal design of computing units in current autonomous driving systems and electric vehicles. The electronic components within the computing units generate significant heat, but due to environmental constraints, fans can not be used for internal cooling, as their operation can draw in dust from the environment, contaminating the internal electronic components. Therefore, computing units are often designed with a sealed structure, utilizing the thermal conductivity of metal casings to quickly dissipate internal heat sources. The results of this study show that comparing embedded cooling modules within the casing to commonly used thermal pads reveals that changing the materials of the cooling module can significantly enhance cooling performance, noticeably reducing the temperature of the internal electronic components and minimizing the risk of overheating. Additionally, this can improve the overall reliability and performance of the system, providing new ideas and application prospects for future automotive thermal design.

Teaching Strategies for Automotive Engine Electronic Control System Testing and Maintenance Course under the “1+X” Certificate System

With the continuous development of China’s economy, cars have become the most common means of transportation for people. However, due to this impact, the contradiction between the market demand for after-sales services such as car testing and maintenance and the actual supply of professional technical personnel has become increasingly prominent. Therefore, strengthening the education reform of automotive inspection and maintenance professional technology has become an important task for major vocational colleges. The “1+X” certificate system has become a new norm in vocational education reform in China due to its significant advantages in cultivating students’ professional knowledge and skills to obtain professional skills certificates. Based on this, this article takes the course of automotive engine electronic control system testing and maintenance as an example to explain the practical significance and strategies of course teaching based on the “1+X” certificate system, aiming to further promote professional teaching reform and provide some reference for colleagues.

Comparison between traditional vacuum booster and electro-mechanical braking system

The Electro-Mechanical Braking System (EMB) is an innovation in the energy supply and transmission of the brake drive mechanism. It provides braking energy with a motor and transmits the driver's braking intention with an electrical signal, and the actuator is still a conventional brake. The automotive electronic mechanical system is in line with the three major themes of safety, energy saving, and environmental protection, and is the development direction of the future brake system. Its research is still in the experimental stage, and there is still some distance from the product launch. Therefore, by comparing the structure and principle of the traditional vacuum booster and the Electro-Mechanical brake system, this paper analyzes their respective advantages and disadvantages, and finally points out that under the current background, the research and development of the Electro-Mechanical brake system is still immature, because its structure is more compact and complex, it is more difficult to conduct simulation, and it still needs to increase research and development investment.

Optimizing Vehicle Detection Through YOLO-Based Deep Learning Strategies

Vehicle detection plays a crucial role in automotive electronic systems and automated driving systems, involving the recognition of specific vehicle types on roads. Addressing the issues of low detection accuracy and slow recognition speed in existing vehicle detection methods, this paper proposes an enhanced vehicle detection model based on YOLO. To account for the varying scales of vehicles and their impact on the detection model, a normalization method is utilized to improve the calculation of prior anchor frame dimensions. Additionally, a multi-layer feature fusion strategy is implemented to enhance the network's feature extraction capabilities by eliminating redundant high-level convolutional layers. Experimental results on the validation dataset demonstrate that the proposed method achieves a mean average precision (mAP) of 90.69% and a mean frames per second (fps) of 19.1, showcasing its effectiveness.

TRIAC Based Isolated AC Load Drive Equivalent Circuit Design of Solid-State Relay

Electronic main boards generally provide the supply and control functions of a system. All electronic main boards include inputs and outputs and are designed according to the design requirements. In this study, a safe and low-cost switching mode power supply (SMPS) board is designed using a flyback converter topology to drive the AC and DC outputs. The triode for alternating current (TRIAC)-based safe and low-cost main board includes a flyback configured transformer with additional winding for driving the TRIAC as an AC output switch in noise immune quadrants II and III. TRIAC is used to switch AC outputs instead of a relay, and the isolation distances of the safety criteria are provided by an optocoupler. In this way, the relay usage is over, and one TRIAC and one optocoupler do the same work that is done by one relay. In this way, the cost of the AC output switch decreases. In addition, the number of AC switches covering the area on the printed-circuit board (PCB) of the mainboard decreases. The flyback topology is designed with half-wave rectified and the transformer is designed with extra winding for producing negative voltage with respect to primer reference for providing negative gate current of TRIAC. TRIAC-based AC output switched, safe, and low-cost main boards can be used for white good main boards, automation (PLC) applications, and automotive electronic control systems. This study provides cost-effective solutions in these areas.

Automotive Electronics: Key System Components [Automotive Electronics

Automotive electronic systems are the collection of electronic components and software systems that are used in modern vehicles to provide safety, comfort, entertainment, and other features. These systems have become increasingly complex over the years as technology has advanced, and they play a critical role in the overall operation of the vehicle.

An Enhanced Anti-surge Circuit for New Energy Vehicle Electronics System

This paper presents an input surge protection circuit for automotive electronics systems with an adjustable overvoltage protection threshold suitable for high input voltage applications. Compared with the conventional overvoltage protection circuit, it boasts a new high-voltage bandgap reference circuit design without pre-regulation, which takes up less space and can be used on a limited PCB board, expanding the practical application range of the chip. The gate protection circuit can monitor the gate-source voltage of the power MOS in real-time and control the charge pump’s operating mode to improve the system’s safety. The design and simulation of the circuit adopt the 0.18 μm 5V/25V BCD process. The simulation results show that the bandgap reference voltage varies by only 0.38 mV in the input voltage range of 3.5 V-25 V. The quiescent current is 146 uA at 5 V supply voltage. The power MOS can be turned on quickly within 50 us. The overvoltage response time is 599 ns, permitting the circuit to be shut down when a surge occurs.

Design And Plastic Flow Analysis Of a 16-Cavity Injection Mold For a 2-Pole Automobile Wiring Harness Connector

The mold design for automobile wiring harness connectors plays a important role in maintaining the quality of the automotive electronic system. This project aims at a design approach with injection molding machine selection and mold flow analysis for a newly developed 16-cavity mold for a 2-pole automobile wiring harness connector. The designed mold is validated with the Solidworks plastic simulation software to verify the flow parameters such as fill time, ease of fill, cooling channel efficiency and possible defects that might occur such as warpage and shrinking. The calculated data and the analysis results are compared. The project helps in understanding the input parameters that needs to be considered during a mold design and steps to validate the same.

Deep Learning Era for Computer Vision-Based Eye Gaze Tracking: An Intensive Model

The active theme for exploration is currently the potential for visual gaze tracking and visual human–machine interactions in contemporary user devices. Eye views were used as an input tool to extract human behavioral knowledge and to achieve immersive user interactions in augmented and amplified reality systems. However, implementations of gaze on consumer devices operating under controlled circumstances face tough precision and reliability challenges. For evolving automotive electronic systems such as driver surveillance systems and new touch screens, accurate and successful gaze estimates are significant. Such systems have to work efficiently and at minimum cost in demanding unregulated, low-power conditions. Deep learning is omnipresent for most computer vision tasks, but it is still common to estimate the eye gaze. The realistic account of all challenges and opportunities of eye gaze tracking requires a complete study of available deep learning methods. In this chapter, huge potential efforts are made to study the background of eye gaze tracking with the detail of how deep learning made a contribution to computer vision-based tracking. In the end, this chapter also highlights a generic system model and comparison of various algorithms for deep learning-driven eye gaze direction diagnosis.

Timing-Oriented Task Offloading Algorithms for Internet-of-Vehicles

The emergence of computation intensive automotive applications poses significant challenges on computation capacity of automotive electronic systems, thus vehicular edge computing (VEC) is introduced as a new computing paradigm into the internet of vehicle (IoV) to improve its data processing capability. However, as the computation capacity is limited in VEC servers, efficient task offloading algorithms need to be proposed. This paper first proposes a multi-task offloading model and gives the related task response time analysis method, and then, both a mixed-integer linear programming (MILP)-based algorithm and a simulated annealing-based heuristic algorithm are proposed to minimize the task response time. By comparing with a baseline algorithm, the MILP-based offloading algorithm can reduce the average task response time by 91.45%, and the heuristic offloading algorithm can reduce the average task response time by 70%.

Adaptive constrained control for automotive electronic throttle control system with experimental analysis

Abstract This article proposes an adaptive constrained control strategy with state constraints and uncertain parameters for an electronic throttle control (ETC) system. Compared with the current control strategies for an ETC system, state constraints and parameter uncertainties are adequately considered in the proposed control strategy. First, the nonlinear dynamic model for control of an ETC is described. Second, the asymmetric Barrier Lyapunov Function (BLF) and a backstepping control algorithm are used to ensure that the throttle opening does not exceed the constrained boundary. A parameter adaptive law is given to estimate the unknown parameter and external disturbances with an ETC system. Third, the proposed BLF controller is compared with the existing Quadratic Lyapunov Function (QLF) controller by simulation and experiment. The results show that the proposed control algorithm not only ensure fast transient performance in the control response, but also avoid the out of bounds of the throttle opening. The proposed constrained control strategy can provide excellent control performance for an ETC system.

Asynchronous sliding mode dissipative control for discrete-time Markov jump systems with application to automotive electronic throttle body control system

In this paper, we study the asynchronous observer-based sliding mode control for a class of discrete-time Markov jump systems with time-delay and conic-type nonlinearities. Firstly, we assume there exists a detector described by the hidden Markov model that provides estimated information of the system mode. Based on the detector, a common sliding surface and an observer-based controller are devised. Secondly, we select the appropriate Lyapunov functional and applying linear matrix inequalities techniques to get sufficient conditions such that the controller and observer gains are obtained, which can guarantee the stochastic stability and strict dissipativity of the sliding mode dynamics. Furthermore, the given H∞ and passive performance are also discussed. Thirdly, to make the system trajectory get to the predetermined sliding surface, a sliding mode control law is proposed. Finally, an application related to the automotive electronic throttle body control system is given to illustrate the correctness and feasibility of this designed approach.

Performance optimization of task intensive real‐time applications on multicore ECUs—A hybrid scheduler

In the current approach of automotive electronic system design, the multicore processors have prevailed to achieve high computing performance at low thermal dissipation. Multicore processors offer functional parallelism that helps in meeting the safety critical requirements of vehicles. The number of Electronic Control Units (ECUs) in high-end cars could be reduced by conglomerating more functions into a multicore ECU. AUTOSAR stack has been designed to support the applications developed for multicore ECUs. The real challenges lie in adapting new design methods while developing sophisticated applications with multicore constraints. It is imperative to utilize the most of multicore computational capability towards enhancing the overall performance of ECUs. In this context, the scheduling of the real-time multitasking software components by the operating system is one of the challenging issues to be addressed. Here, the state-of-the-art scheduling algorithm is reviewed and its merits and limitations are identified. A hybrid scheduler has been proposed, tested and compared with the state-of-the-art algorithm that offers better performance in terms of CPU utilization, average response time and deadline missing rate both in normal and high load conditions.

Application Computer Detection and Control System in Automobile Electronic Control System

The overall development of our society has promoted the development of computer technology, making the various performances of modern cars more perfect. The application of computer detection and control system technology in automobile electronic control devices can realize the intelligence and automation of automobile control. Now in the information age, computer perception and control technology are widely used in various social production fields, and are also widely used in automotive electronic control systems. Due to the emergence of automotive electronic control technology, automotive performance continues to improve, automotive safety performance improves, and automotive dynamic performance becomes stronger. In the automotive electronic control device, to understand the role of the computer detection and control system more specifically, it is necessary to fully understand and master the operation principle of the computer detection and control technology and the application range of the automotive electronic control device. In order to further improve the safety performance of the vehicle, in addition to the structural improvement of the vehicle itself and the addition of safety protection devices, it is a more effective method to perceive the surrounding environment and vehicle status during driving to achieve control. This article first introduces the computer detection and control technology, and analyzes the application program in the automotive electronic control device for reference.

Research on the Sensitivity of Automotive Sensors under the Background of 5G

With the continuous development of automotive electronics, automotive sensing technology has also appeared and has been more and more widely used. As an important part of the automotive electronic control system, automotive sensors not only need to collect information, but also transmit information. The automobile sensor first needs to convert the automobile operating condition information into electrical signals and then transmit it to the central control unit, in order to make the engine reach the best working condition. In addition, automotive sensors can also perform accurate and real-time measurement and control for information such as pressure, temperature, speed, photoelectricity and flow rate, which greatly improves the effectiveness of information processing. As a factor that can affect the safe operation of a car, the quality of the car sensor plays a direct role. Therefore, in order to ensure the safe operation of automobiles, strict requirements on the accuracy, stability, responsiveness, shock resistance and service life of automobile sensors are required. The development of modern cars is moving towards a safer and more comfortable perspective and the key to achieving this goal lies in the development of sensors. At present, the development of sensors mainly depends on the development of new sensors and the integration, intelligence and multifunction of sensors. Realize the improvement of the sensor’s working accuracy and response speed and the ability to adapt to different environments. Therefore, studying the application of sensors in the current automotive field is of great significance to the future development of the automotive field and the sensor field.

Analysis of automotive electronic systems encoders metodological errors

Various types of encoding transducers (encoders) are used in modern technics widely to measuring the characteristics of mechanical motion which is predetermined by their reliability, operation stability and some other positive qualities. At the same time the basic operation principle of this measuring transducers type determines the presence of irremovable methodological errors in the measurements results obtained with their help. These errors reduce the efficiency of target systems. Their accounting and further compensation are possible in the presence of the mathematical apparatus for simulation of the measurement results. In this article substantiation and synthesis of this apparatus which includes the main encoder’s parameters are carried out. The generated mathematical model can be used for the selection or design of encoding transducers to electronic monitoring and control systems for automobiles, tractors as well as other self-moving machines and technical objects at all. Keywords sensor, primary transducer, measuring transducer, error, methodological error, accuracy, measurement, impulses, encoder, encoding transducer, discretization, motion characteristics, movement, speed, acceleration

An Adaptive Multi-Dimensional Vehicle Driving State Observer Based on Modified Sage-Husa UKF Algorithm.

An accurate vehicle driving state observer is a necessary condition for a safe automotive electronic control system. Vehicle driving state observer is challenged by unknown measurement noise and transient disturbances caused by complex working conditions and sensor failure. For the classical adaptive unscented Kalman filter (AUKF) algorithm, transient disturbances will cause the failure of state estimation and affect the subsequent process. This paper proposes an AUKF based on a modified Sage–Husa filter and divergence calculation technique for multi-dimensional vehicle driving state observation. Based on the seven-degrees-of-freedom vehicle model and the Dugoff tire model, the proposed algorithm corrects the measurement noise by using modified Sage–Husa maximum posteriori. To reduce the influence of transient disturbance on the subsequent process, covariance matrix is updated after divergence is detected. The effectiveness of the algorithm is tested on the double lane change and Sine Wave road conditions. The robustness of the algorithm is tested under severe transient disturbance. The results demonstrate that the modified Sage–Husa UKF algorithm can accurately detect transient disturbance and effectively reduce the resulted accumulated error. Compared to classical AUKF, our algorithm significantly improves the accuracy and robustness of vehicle driving state estimation. The research in this paper provides a reference for multi-dimensional data processing under changeable vehicle driving states.

On the Modeling of Automotive Security: A Survey of Methods and Perspectives

As the intelligent car-networking represents the new direction of the future vehicular development, automotive security plays an increasingly important role in the whole car industry chain. On condition that the accompanying problems of security are proofed, vehicles will provide more convenience while ensuring safety. Security models can be utilized as tools to rationalize the security of the automotive system and represent it in a structured manner. It is essential to improve the knowledge about security models by comparing them besides proposing new methods. This paper aims to give a comprehensive introduction to the topic of security models for the Intelligent Transport System (ITS). A survey of the current methodologies for security modeling is conducted and a classification scheme is subsequently proposed. Furthermore, the existing framework and methods to build automotive security models are broadly examined according to the features of automotive electronic system. A number of fundamental aspects are defined to compare the presented methods in order to comprehend the automotive security modeling in depth.