User Behavior Optimization Strategy for Electric Vehicle Based on Improving Battery SOH
作者单位：Tongji University
会议名称：《2021中国汽车工程学会年会暨展览会》
会议日期：2021年
学科分类：0808[工学-电气工程] 08[工学] 0807[工学-动力工程及工程热物理]
关 键 词：battery SOH electric passenger vehicle user behavior optimization strategy
摘 要：Rapid decline of the battery SOH is one of key bottlenecks hindering further promotion and application of new energy vehicles（NEVs） in *** order to improve battery SOH,this study focuses on electric passenger vehicle as the research object and proposes optimization strategies on the vehicle user ***,we calculate and compare the monthly average SOH decline level of on-board power batteries made of lithium nickel cobalt manganese oxide（NCM） and lithium iron phosphate（LFP） cathode materials based on the big data of 525 electric passenger vehicles that operated for one year from the platform of Shanghai ***,we analyse the main factors affecting *** with the investigations,14 indicators of vehicle use behaviors,such as the average vehicle speed and charging depth,which affect the SOH of power battery,are determined as input variables,and the prediction model of batteiy SOH is established based on Back propagation（BP） neural ***,we use the two-step clustering method to divide user behaviors into two categories,namely the private car mode and the online car-hailing ***,we propose optimization strategies on user behaviors for different battery types of vehicles respectively,followed by contirming the results via deploying the SOH prediction *** results show that the proposed strategy is efficient on improving the SOH of the two cathode materials-based batteries under three scenarios,while their degree of improvement is different.