With the rapid development of the new energy vehicle industry, the AC charging system of pure electric vehicles, as a key link in the energy supply of electric vehicles, its stability and safety directly affect the entire new energy vehicle industry. This paper conducts an in-depth analysis of the working logic of the AC charging system for pure electric vehicles, systematically sorts out the technical problems and fault types existing in the current charging system, and proposes corresponding optimization strategies in combination with actual application scenarios.

The research focuses on the application of the "dual-teacher and three-track" collaborative education mechanism in the double-creativity education of automotive majors in higher vocational colleges, and explains its theoretical connotation and operational logic. This paper focuses on analyzing the collaborative role of university teachers, enterprise mentors and entrepreneurship coaches in course co-construction, project co-research and talent co-cultivation, and explores the practical model of this mechanism in teaching reform and industry-education integration. Through cases of course construction and technological breakthroughs, the achievements of the mechanism in enhancing teachers' capabilities, strengthening students' innovation and entrepreneurship qualities, and integrating professional education are summarized. At the same time, the deficiencies in system connection and resource allocation are pointed out. Research shows that the "dual-teacher and three-track" mechanism is conducive to the deep integration of innovation and entrepreneurship education with automotive professional teaching, and has significant promoting significance for the cultivation of innovative technical talents.

The problem of high voltage failure to power on BYD Qin EV pure electric new energy vehicles occurs from time to time, which has a significant impact on the normal use of the vehicle. Based on this, this article introduces the high-voltage system structure and control logic of BYD Qin EV, analyzes the types of high-voltage non power on faults, explains the diagnostic process and methods of such faults, and proposes common fault causes, manifestations, and maintenance methods based on practical cases.

To analyze the charging power matching of battery electric vehicles (BEVs) at normal temperature and improve relevant testing methods, this study conducted tests on the charging process of five BEV models under charging piles of different specifications in a normal-temperature experimental environment. Before the test, the vehicles were discharged to 10% State of Charge (SOC) and left to stand for more than 12 hours. Parameters including charging power and vehicle demand power in the SOC 10%~80% (fast-charging range) and SOC 10%~100% (full-charging range) were collected and analyzed, and the power response coefficient k was proposed to comprehensively evaluate the charging adaptability of the models.

With the rapid development of the automotive industry and the increasing demand for road traffic safety, the automotive lighting system has evolved from a simple lighting tool into a key component for ensuring driving safety. Therefore, this paper conducts research on an intelligent automotive lighting control system based on a single-chip microcomputer, aiming to design a solution that is both practical and economical. The system uses the STC89C52 single-chip microcomputer as the control core, perceives ambient light intensity, the distance of obstacles ahead, and the vehicle's steering state through multi-sensor fusion, realizes adaptive adjustment of lights in combination with intelligent control algorithms, and improves the system's stability in the complex electromagnetic environment of automobiles through hardware optimization and software anti-interference design.

Under the guidance of the "dual carbon" goals, the energy consumption driving range performance of electric light trucks have become key areas for technological breakthroughs. This paper employs a coupled approach based on rolling resistance and energy recovery strategies to conduct energy consumption, range tests, and simulation analyses on a prototype electric light truck. The results show that under both 40 km/h constant-speed and complex driving conditions, energy consumption and driving range improved. Low-resistance design significantly enhances driving range, while high-energy recovery intensity, although reducing energy consumption, has a negative impact on driving experience.

Aiming at the longitudinal force control problem of pure electric pickup trucks under low-speed creep conditions, in order to improve control accuracy, driving smoothness and anti-disturbance robustness, this paper proposes a dynamic constraint model predictive control strategy integrating real-time slope feedforward. Firstly, establish a discrete state space model of the vehicle's longitudinal dynamics considering multi-source drag coupling; Secondly, a multi-objective cost function is constructed with speed tracking error, torque change rate and energy consumption as the optimization objectives. The core innovation lies in the design of a dynamic constraint adjustment mechanism based on slope feedforward. By estimating the slope resistance in real time and dynamically correcting the motor torque constraint boundary, the robustness of the controller under large slope disturbances and the feasibility of solving optimization problems are enhanced. Finally, a real vehicle test platform was built based on domestic pure electric pickup trucks to complete the verification. The results show that compared with the traditional proportional-integral-differential controller,the proposed MPC controller,reduces the average absolute error of speed tracking by 53.1% and the fluctuation of torque change rate (characterizing driving smoothness) by 52.4%. It shows excellent dynamic response characteristics under both slope and load change conditions, which can significantly improve the comprehensive control quality under creep conditions and has engineering application value.

Plug-in Hybrid Electric Vehicle (PHEV) achieves a balance among power performance, economy and environmental protection by integrating the advantages of internal combustion engines and electric motors. As a key technology in PHEV research and development, the matching of power system parameters and the simulation technology of vehicle performance directly determine the comprehensive performance and market competitiveness of its products. This paper systematically expounds the method of power system parameter matching, deeply integrates professional simulation tools such as MATLAB/Simulink and AVL-Cruise, and constructs a multi-dimensional vehicle performance simulation system architecture covering power performance, economy and thermal management. Through empirical analysis of typical engineering cases, the optimization efficiency of parameter matching on vehicle performance is quantitatively verified, and the future development trend of this technology is discussed.

This paper expounds the design of a fishbone-shaped water collection and distribution device and its application in a compact modular layout, providing a reference for the optimization of the external pipeline of battery thermal management in electric buses.

The rapid development of new energy vehicles and energy storage industries has imposed higher demands on power battery health management. Accurate prediction of State of Health has become a core challenge in ensuring system safety and economic viability. Current prediction methods face three major bottlenecks: insufficient adaptability to dynamic operating conditions, difficulties in characterizing micro-level degradation mechanisms, and high implementation costs. Therefore, this paper conducts in-depth research on a multi-physics field feature collaborative extraction mechanism and a lightweight deep learning framework. The goal is to establish a novel prediction paradigm that combines real-time responsiveness with industrial-grade accuracy, providing a theoretical breakthrough direction for battery lifecycle management.

With the rapid development of the automobile industry in the direction of intelligence and networking, as the"Neural network" of the vehicle, the structure of the automobile wiring harness is becoming more and more complex, and the types are becoming more and more numerous, which brings new challenges to the warehouse management of wire harness manufacturing enterprises. This paper first expounds the significance of the introduction of intelligent systems, and then systematically proposes a hierarchical overall architecture design scheme, furthermore, a feasible optimization strategy is proposed from the perspective of intelligent scheduling of work flow and system life cycle maintenance, in order to help enterprises in the fierce market competition through the intelligent innovation of internal logistics to build a solid core advantage of supply chain.

This study analyzes the energy density balancing mechanism of BYD Han EV's blade battery system:Adopting long strip-shaped cell design and module-free integration, volume utilization rate is significantly improved, with first-generation energy density of 140Wh/kg and second-generation reaching 190Wh/kg (lab data 210Wh/kg). Integrated with direct cooling thermal management and BMS active balancing, the temperature difference is controlled below 5℃ ,and cycle life exceeds 3000 times. Experimental data shows 92% range retention at -30℃ and 800V platform enabling 15-minute fast charging to 80%. The research reveals that through structural optimization with intelligent algorithms, the blade battery achieves balance between energy density, safety, and lifespan, providing references for high-energy-density battery design.

This article takes the concept of ideological and political education in courses as the core, combines practical cases from multiple vocational colleges, and explores the specific construction paths of ideological and political education in the courses of the new energy vehicle Technology major from five aspects: overall design of the talent cultivation plan, systematic optimization of the curriculum system, innovation of educational and teaching methods, deepening of collaborative education among government, schools, industries and enterprises, and improvement of the multi-dimensional talent evaluation system. It aims to achieve a deep integration of professional education and ideological and political education, and cultivate compound talents with both technical capabilities and a sense of patriotism.

This paper proposes a machine vision-guided flexible assembly system for industrial robots, focusing on resolving the precision-efficiency conflict in automotive engine docking. By integrating high-resolution industrial cameras with six-dimensional force sensors, and combining YOLOv3 object detection with nine-point calibration algorithms, the system achieves sub-pixel level component positioning and dynamic error compensation. Experimental results demonstrate that the system achieves 0.05mm positioning accuracy in engine crankshaft assembly, completes single-station operations within 8 seconds, and reduces defect rates by 20% compared to traditional processes.

As the primary mode of transportation, automobiles may develop electrical system failures during prolonged use that impair the proper functioning of electronic components. These malfunctions manifest in diverse forms with varied root causes, making the selection of appropriate diagnostic techniques and repair methodologies crucial. This article examines common electrical system failures, outlines diagnostic strategies, and proposes practical maintenance solutions to enhance repair efficiency and quality. The study provides actionable frameworks for implementing effective fault diagnosis and repair practices in automotive engineering.

Introduce the architecture and design principles of the vehicle wiper system that combines the self return motor of the wiper with the gear shift; Introduce the interactive control logic of the wiper self return motor, gear shift, rain sensor, wiper relay, and integrated body control module (IBCM) in the wiper control system.

Based on the failure of the automatic start-stop system of Geely Emgrand GL model, this paper sorts out the fault diagnosis process from a practical perspective, focuses on analyzing key links such as line connection, sensor signal, and control module communication, and proposes a line repair plan in combination with typical cases, providing practical maintenance guidance for auto repair personnel.

With the continuous development of science and technology, the car entry system is also constantly upgraded. As a new way to enter the car, NFC card key has the advantages of convenience, safety and so on, and has gradually attracted attention. This paper first introduces the basic principle of NFC technology, and then introduces the design scheme of NFC card key intelligent entry system, including its system scheme and working principle. Finally, the challenges NFC card key in the field of vehicle application are explained.

This article analyzes the composition and working principle of the side air curtain system, optimizes the selection of gas generators and the design of key parameters, and conducts simulation analysis on the inflation process by using fluid-structure coupling simulation technology. Verify the effectiveness of the optimized design scheme and provide a brand-new idea for improving the safety protection performance of the side air curtain system.

With the rapid development of vehicle engine control technology, original equipment manufacturers (OEMs) have put forward higher requirements for the genuine identification of filter element systems. The article proposes a design scheme for the genuine identification system of automotive filter elements based on digital technology, integrating electronic tags, encryption algorithms and cross-module encryption communication logic, aiming to enhance the real-time performance and reliability of the authenticity judgment of filter elements. This solution can effectively identify the authenticity of filter elements, ensure the secure transmission and storage of data, and provide strong support for the power performance and safety of the engine.

This paper focuses on the faults of power batteries in new energy vehicles. It first analyzes their core characteristics and systematically elaborates on the application logic and operational key points of three key technologies: on-board real-time diagnosis, offline diagnosis, and intelligent diagnosis. Ultimately, a standardized troubleshooting process is constructed, which includes initial screening, in-depth detection, fault repair, and effect verification. The research aims to provide references for improving the efficiency of power battery fault handling and ensuring the safe operation of new energy vehicles.

With the development of new energy technology, pure electric pickup trucks have shown great potential in the off-road field due to their unique power characteristics. However, the complex and changeable road adhesion conditions restrict the precise control of their longitudinal force. This paper systematically reviews the key technologies of longitudinal force control for off-road pure electric pickup trucks. By analyzing the configuration of the power system, a hierarchical collaborative control architecture and integrated actuator are proposed. Focusing on intelligent algorithms such as fuzzy logic control, sliding mode variable structure control, and model predictive control, this paper expounds their advantages in dealing with system nonlinearity and achieving multi-objective optimization. Simulation and real vehicle verification show that the intelligent algorithm can significantly improve the longitudinal force control accuracy and system robustness in scenarios such as starting on low-adhesion roads compared with traditional methods, providing a reference for the development of high-performance pure electric off-road control technology.

With the popularization of electric vehicles, the metering accuracy of DC charging piles has become the key to ensuring user rights and the fairness of services. This paper is based on JJG 1149—2022 "Electric Vehicle Off-Board Charger (Trial)", focusing on the metering error of DC charging pile, analyzing the influence of multiple factors such as ripple, temperature and hardware characteristics on metering accuracy, and proposes an error analysis method based on signal decomposition and neural network, and verifies the effectiveness of the method through experiments. The research results provide technical support for the optimization of metering performance and the implementation of procedures for DC charging piles.

Electromechanical Braking (EMB) technology is driving a generational shift from hydraulic to brake by-wire systems. Targeting autonomous driving requirements, this study employs theoretical comparison and empirical analysis to reveal EMB’s triple breakthroughs over hydraulic systems.Structural Reconstruction: Electromechanical direct-drive architecture eliminates hydraulic pipelines, reducing components by 40% and mass by 24.1%.Performance Leap: Response time ≤100ms 30% faster), control precision ±0.01MPa (85% higher), reducing collision kinetic energy by 62% in AEB scenarios.Energy Efficiency Innovation: Enhancing endurance by optimizing drag torque. Localization practices confirm feasibility: xxx company curbs torque attenuation at -40℃ (≤8%). The new regulation GB 21670—2025,to be implemented on January 1st, 2026, will accelerate industrial substitution. Future efforts must resolve redundancy costs challenges toward integrated "brake-drive-steer" smart actuators.

This article mainly analyzes the types and potential risks of common voltage terminals for wires of different diameters in the high-voltage charging base of new energy vehicles. Firstly, this paper focuses on discussing the problem of signal line breakage caused by the significant difference in tensile force values when the signal line and the PE line are co-pressed at high magnification wire diameters. Secondly, it compares and elaborates on the advantages and disadvantages of MW-type crimping and six-sided crimping. Finally, it proposes improvement measures such as optimizing the crimping process, mold design, and wire harness fixation to enhance the connection reliability of the co-pressed terminal, providing a basis for product development and quality control.

This paper proposes a temperature estimation method for low-voltage DC motors based on Rotational Speed (REV). This method is based on the motor parameter model library and combines the dynamic characteristics of motor heat generation and dissipation as well as the nonlinear mapping relationship between driving current and rotational speed to construct a temperature prediction algorithm framework. By setting up an experimental bench to collect the measured data and adopting the error reverse correction strategy to iteratively optimize the algorithm, the maximum deviation between the estimated value and the actual temperature was ultimately made ≤3℃. This method can avoid the reliance of traditional models on complex sensors, save the cost of vehicle sensors, and has engineering application value in the field of motor thermal protection and fault early warning.

By analyzing the classic software development process, combined with the software architecture of the infotainment system, the vehicle development process and the development mode of this system, this article proposes a development method based on the division of system sections: The underlying software adopts the V model, middleware and system application software adopt the incremental development model, and ecosystem function software adopts a combination of the incremental and Scrum agile development models. This research content can provide some references for the process control methods of future in-vehicle infotainment system software development.

This paper explores the adaptive challenges of detecting autonomous vehicles in complex road environments in China, analyzes its impact and potential risks on the development of autonomous driving technology-Based on this, an optimization scheme based on the VOLO algorithm is proposed. This scheme integrates frequency domain enhancement and dynamic sparsity techniques, enhancing the detection performance of vehicles in harsh weather and strengthening the robustness and adaptability of the system.

Against the backdrop of rapid development in the new energy vehicle industry, power batteries have become the core technical component supporting its performance. However, during actual operation, power batteries often face safety hazards such as overheating, short circuits, overcharging, and over-discharging. These issues may not only lead to battery performance degradation but also trigger safety incidents in severe cases. To effectively enhance the safety of power batteries, various advanced monitoring technologies and management solutions have been extensively researched and practically implemented within the industry. By conducting real-time monitoring of key operational parameters such as temperature, voltage, and current, combined with dynamic regulation through the Battery Management System (BMS),potential battery failures can be effectively preempted. The deep integration of intelligent monitoring systems and big data analytics further provides a more precise early warning mechanism for power battery safety, significantly enhancing the overall operational safety and stability of new energy vehicles. Leveraging these technological measures, the safety and reliability of power batteries during use can be notably improved, thereby offering robust support for the sustained and healthy development of the new energy vehicle industry.

To adapt to the centralized computing electronic and electrical architecture under the trend of "software-defined vehicles", this paper conducts adaptive development and optimization design for the digital key system. First, sort out the evolution logic of automotive electronic and electrical architecture from distributed, domain control to vehicle-cloud integrated centralized (EEA 3.0); Furthermore, the pain points existing in the traditional digital key system under the distributed architecture, such as functional independence, insufficient log storage, and weak data collaboration ability, are analyzed, and an adaptation solution based on the EEA 3.0 architecture is proposed.

This paper proposes a parallel hybrid vehicle AMT transmission shift control optimization method to dynamically learn and adjust shift positions, to avoid wear on the forks, and to improve the reliability of the transmission assembly. The control optimization process is explained in terms of symptoms, cause analysis, structure layout, and test verification.

With the popularization of intelligent driving, the identification of special vehicles has become a key issue. This article conducts research on the recognition challenges of special vehicles in the era of intelligent driving.Firstly, it introduces the vehicle-level system framework based on sound recognition. Then, it elaborates in detail the methods of sound preprocessing and feature extraction using the TorchAudio library. Finally, it combines the ResNet-18 residual network for sound classification. And the effectiveness of this method in the sound recognition of special vehicles is verified through experiments, providing a new approach for the recognition of special vehicles in intelligent driving.

In response to the control requirements of intelligent headlights, this paper proposes an intelligent headlight priority control strategy based on an intelligent controller. It focuses on expounding the control logic, priority strategy and specific control system of intelligent headlights: when the vehicle needs to adjust the priority of headlights, the corresponding control module issues a work instruction to enable the intelligent headlights to adjust the priority logic between different lights, so as to adapt to the regulatory requirements of different countries and regions. This strategy provides a reference for solving the priority management problems caused by multi-region regulatory adaptation and function expansion

With the increasing popularity of electric vehicles, liquid lithium batteries in power batteries have the risk of fire caused by thermal runaway in application, and the charging speed is difficult to meet the needs of users for rapid energy replenishment, which restricts the further promotion of electric vehicles and the improvement of user experience. Based on this, this paper discusses the technical characteristics of the new solid-state lithium battery, its compatibility with the existing electric vehicle system, the current application bottleneck and its optimization strategy, from the perspective of material innovation and system integration, a feasible development path is proposed to provide a useful reference for the application optimization of solid-state batteries in electric vehicles.

With the development of the automobile industry, the improvement of vehicle speed, the increase of load and the improvement of people's demand for driving experience have put forward higher requirements for braking performance, an excellent braking system should be able to maintain stable braking efficiency in a variety of complex and harsh conditions. Therefore, in this paper, the most basic mechanical transmission of automobile braking system is discussed in depth, the specific paths and methods to improve the braking performance are expounded from the dimensions of structural optimization design, high-performance material application and electromechanical cooperative control, aiming to provide reference for the optimization of related technologies.

The battery cold plate is an important component of the battery thermal management system. The thermal management performance of new energy batteries plays a crucial role in the performance and safety of batteries. Through static load tests on the cold plate, a matching test fixture is designed to study the strength of the cold plate, analyze the deformation of the cold plate, compare the strength differences between the formed cold plate and raw materials, and test the overall air tightness changes of the cold plate before and after the test. At the same time, based on the layout of the cooling space on the large surface of the battery and the actual expansion force load conditions of the battery, fatigue durability research on the cold plate is carried out. The deformation of the cold plate after the alternating load test is analyzed, and the overall air tightness changes of the cold plate before and after the test are tested. Through the results of the static load test and fatigue durability test of the cold plate, data guidance is provided for optimizing the structural design and spatial layout of the cold plate.