Design and Implementation of a Battery Big Data Platform Through Intelligent Connected Electric Vehicles
作者机构：National Engineering Research Center for Electric VehiclesSchool of Mechanical EngineeringBeijing Institute of TechnologyBeijing 100081China
出 版 物：《Chinese Journal of Mechanical Engineering》 (中国机械工程学报（英文版）)
年 卷 期：2023年第36卷第2期
页 面：291-301页
核心收录：
学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 08[工学] 0807[工学-动力工程及工程热物理] 0802[工学-机械工程]
基 金：Supported by National Key R&D Program of China (Grant No.2021YFB2402002) Beijing Natural Science Foundation of China (Grant No.L223013)。
主 题：Intelligent connected electric vehicle Battery Operation data State estimation Wireless energy transfer
摘 要：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.
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