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Design and Implementation of a Battery Big Data Platform Through intelligent connected electric vehicles

Chinese Journal of Mechanical Engineering 2023年第2期36卷 291-301页

作者： Rui Xiong Baoqiang Zhu Kui Zhang Yanzhou Duan Fengchun Sun National Engineering Research Center for electric vehicles School of Mechanical EngineeringBeijing Institute of TechnologyBeijing 100081China

The development of a battery management algorithm is highly dependent on high-quality battery operation data,especially the data in extreme conditions such as low temperatures.The data in faults are also essential for failure and safety management research.This study developed a battery big data platform to realize vehicle operation,energy interaction and data management.First,we developed an electric vehicle with vehicle navigation and position detection and designed an environmental cabin that allows the vehicle to operate autonomously.Second,charging and heating systems based on wireless energy transfer were developed and equipped on the vehicle to investigate optimal charging and heating methods of the batteries in the vehicle.Third,the data transmission network was designed,a real-time monitoring interface was developed,and the self-developed battery management system was used to measure,collect,upload,and store battery operation data in real time.Finally,experimental validation was performed on the platform.Results demonstrate the efficiency and reliability of the platform.Battery state of charge estimation is used as an example to illustrate the availability of battery operation data.

关键词： intelligent connected electric vehicle Battery Operation data State estimation Wireless energy transfer

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