Author(s)

Wang Yue ¹

Affiliation(s)

¹ College of Mechanical and Electrical Engineering, Liaoyang Vocational and Technical College, Liaoyang, Liaoning, 111000, China

Corresponding Author

Wang Yue

ABSTRACT

With increasing emphasis on environmental problems, hybrid vehicles have become an important development direction of the automobile industry, and the safety assessment in the maintenance process has been particularly valued. This study establishes a systematic hybrid vehicle maintenance safety evaluation method, focusing on three key technologies: battery management system (BMS) fault diagnosis, high-voltage system isolation, and power battery safety detection. The multisource data fusion technology is used to carry out real-time monitoring and fault warning of BMS; adopt the design concept based on high-voltage interlock to realize the effective isolation of the automotive high-voltage system; and reconstruct the battery state through the simulation model to comprehensively evaluate the health of the power battery. In the experimental part, by randomly selecting the models of the main hybrid vehicles on the market, a database was built that covers more than 100 typical faults and a number of fault diagnosis algorithms were compared and tested on the actual car. The research results show that the evaluation method has reached the industry-leading level in terms of fault detection rate, fault location accuracy, and response time. The diagnostic precision rate has increased by an average of 15% and the response time has been reduced by 30%. The research not only provides a scientific and systematic safety evaluation tool for the maintenance of hybrid vehicles but also lays a theoretical foundation for the formulation and upgrading of training standards for the automotive maintenance industry.

KEYWORDS

Hybrid Vehicle, Battery Management System, High-voltage System Isolation, Power Battery Safety Detection, Multisource Data Fusion Technology

CITE THIS PAPER

Wang Yue, Research on Safety Evaluation Methods in the Maintenance of Hybrid Vehicles. Journal of Electrotechnology, Electrical Engineering and Management (2024) Vol. 7: 146-152. DOI: http://dx.doi.org/10.23977/jeeem.2024.070119.

REFERENCES

[1] Chen Yugang, Wang Jianghong and Yang Tao. "Safety issues in the maintenance of electric vehicles." Small and medium-sized enterprise management and technology (2019): 47-48.
[2] Ma King Kong. "Hybrid and electric vehicle maintenance safety (low position or rank)." Car Repair and Maintenance (2019): 50-53.
[3] Hu Hongxia. "Control strategy of hybrid vehicles." Times Automobile19 (2019): 8-9.
[4] Zhou Bin. "Troubleshooting of high-voltage power-up of BYD Tang hybrid vehicles." Car maintenance (2020): 16-18.
[5] C Geng, D Ning, L Guo, et al. Simulation Research on Regenerative Braking Control Strategy of Hybrid Electric Vehicles [D]. Energies, 2021.
[6] H Gong. Research on the Fast Matching Method of Power System Parameters for Parallel Hybrid Electric Vehicles [D]. Internal combustion engines, 2019.
[7] Liu Guangbi, Wang Buyu, Wang Xiangyang, Equal. Rapid design method of the special aircraft parallel hybrid turbofan engine [J]. Aerodynamics News, 2023.
[8] Tian Haiping, Su Jian, Xiao Zeqi. Evaluation of the aerodynamic characteristics of the aerodynamic layout of hydrogen-powered fixed-wing UAVs [J]. Journal of Taiyuan University of Technology, 2021.

Sponsors, Associates, and Links

---

• Power Systems Computation
  
  
• Internet of Things (IoT) and Engineering Applications
  
  
• Computing, Performance and Communication Systems
  
  
• Journal of Artificial Intelligence Practice
  
  
• Advances in Computer, Signals and Systems
  
  
• Journal of Network Computing and Applications
  
  
• Journal of Web Systems and Applications
  
  
• Journal of Wireless Sensors and Sensor Networks
  
  
• Journal of Image Processing Theory and Applications
  
  
• Mobile Computing and Networking
  
  
• Vehicle Power and Propulsion
  
  
• Frontiers in Computer Vision and Pattern Recognition
  
  
• Knowledge Discovery and Data Mining Letters
  
  
• Big Data Analysis and Cloud Computing
  
  
• Electrical Insulation and Dielectrics
  
  
• Crypto and Information Security
  
  
• Journal of Neural Information Processing
  
  
• Collaborative and Social Computing
  
  
• International Journal of Network and Communication Technology
  
  
• File and Storage Technologies
  
  
• Frontiers in Genetic and Evolutionary Computation
  
  
• Optical Network Design and Modeling
  
  
• Journal of Virtual Reality and Artificial Intelligence
  
  
• Natural Language Processing and Speech Recognition
  
  
• Journal of High-Voltage
  
  
• Programming Languages and Operating Systems
  
  
• Visual Communications and Image Processing
  
  
• Journal of Systems Analysis and Integration
  
  
• Knowledge Representation and Automated Reasoning
  
  
• Review of Information Display Techniques
  
  
• Data and Knowledge Engineering
  
  
• Journal of Database Systems
  
  
• Journal of Cluster and Grid Computing
  
  
• Cloud and Service-Oriented Computing
  
  
• Journal of Networking, Architecture and Storage
  
  
• Journal of Software Engineering and Metrics
  
  
• Visualization Techniques
  
  
• Journal of Parallel and Distributed Processing
  
  
• Journal of Modeling, Analysis and Simulation
  
  
• Journal of Privacy, Trust and Security
  
  
• Journal of Cognitive Informatics and Cognitive Computing
  
  
• Lecture Notes on Wireless Networks and Communications
  
  
• International Journal of Computer and Communications Security
  
  
• Journal of Multimedia Techniques
  
  
• Automation and Machine Learning
  
  
• Computational Linguistics Letters
  
  
• Journal of Computer Architecture and Design
  
  
• Journal of Ubiquitous and Future Networks