A vehicle alarm network for high-temperature fault diagnosis of electric vehicles

Author:

Hou Qing,Liu JunORCID,Zhang Jianxing,Xu Zihan,Chen Xiao,Chen Peng

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Reference34 articles.

1. He R, Yan YZ, Hu DH (2021) Optimised adaptive control methodology for mode transition of hybrid electric vehicle based on the dynamic characteristics analysis. Vehicle System Dynamics 59(8):1282–1303

2. Jia YF (2022) China’s industrial economy will stabilize in 2021: the growth rate of new energy vehicles is the first. 21st Century Business Herald, 002

3. Yang XJ, Yang DB et al (2017) Research on reliability big data analysis technology of new energy vehicles. Highway and Transportation Science and Technology 34(S2):123–127

4. Ministry of Public Security of the People’s Republic of China, The number of private cars in China exceeded 200 million for the first time,and the number of cars in 66 cities exceeded one million. https://app.mps.gov.cn/gdnps/pc/content.jsp?id=7478950 (2020)

5. Chen ZY, Xiong R et al (2019) Research status and analysis for battery safety accidents in electric vehicles. Journal of Mechanical Engineering 55(24):93–104

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1. Genetic Algorithm in Fault Diagnosis System of Construction Machinery;2023 3rd International Conference on Mobile Networks and Wireless Communications (ICMNWC);2023-12-04

2. A Review on the Fault and Defect Diagnosis of Lithium-Ion Battery for Electric Vehicles;Energies;2023-07-20

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