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Alternative TitleForecasting the driving range of electric vehicle based on the SOE of battery
林仕立1,2,3; 宋文吉1,2,3; 吕杰1,2,3; 冯自平1,2,3
Source Publication电池
Other AbstractThe state of energy (SOE) estimation was proposed to improve the accuracy of electric vehicle driving range prediction. Based on the basic definition of SOE, the thermal parameters were introduced to modify the mathematical model of SOE. Combined with some influence factors, such as vehicle quality, driving resistance, battery performance and driving conditions, the power supply and demand model was researched and the driving range prediction method based on SOE was established. It could be verified through the standard cycle test that the accuracy of this method was 4. 09% higher than that of the traditional method and the predicted results were closer to the actual values.
Keyword能量状态(SOE) 电动汽车 续驶里程预测 供需功率模型 state of energy(SOE) electric vehicle driving range prediction power supply and demand model
Citation statistics
Document Type期刊论文
Corresponding Author宋文吉
First Author AffilicationGuangZhou Institute of Energy Conversion,Chinese Academy of Sciences
Recommended Citation
GB/T 7714
林仕立,宋文吉,吕杰,等. 基于电池SOE预测电动汽车的续驶里程[J]. 电池,2017,47(3):137-139.
APA 林仕立,宋文吉,吕杰,&冯自平.(2017).基于电池SOE预测电动汽车的续驶里程.电池,47(3),137-139.
MLA 林仕立,et al."基于电池SOE预测电动汽车的续驶里程".电池 47.3(2017):137-139.
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