| 基于电池SOE预测电动汽车的续驶里程 |
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| 引用本文： | 林仕立,宋文吉,吕杰,冯自平.基于电池SOE预测电动汽车的续驶里程[J].电池,2017,47(3). |
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| 作者姓名： | 林仕立 宋文吉 吕杰 冯自平 |
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| 作者单位： | 中国科学院广州能源研究所,广东广州510640;中国科学院可再生能源重点实验室,广东广州510640;广东省新能源和可再生能源研究开发与应用重点实验室,广东广州510640 |
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| 基金项目： | 国家自然科学基金项目，广州市科技计划项目 |
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| 摘 要： | 提出采用电池能量状态(SOE)估算以提高电动汽车续驶里程预测的精度。在基本SOE定义的基础上,引入热能参数对数学模型进行修正,结合车辆质量、行驶阻力、电池组性能及行驶工况等影响因素,研究电动汽车供需功率模型,建立基于SOE的续驶里程预测方法。标准循环测试工况验证表明:该方法的精度比传统方法提高了4.09%,预测结果更接近实际值。
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| 关 键 词： | 能量状态(SOE) 电动汽车 续驶里程预测 供需功率模型 |
Forecasting the driving range of electric vehicle based on the SOE of battery |
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| LIN Shi-li,SONG Wen-ji,LV Jie,FENG Zi-ping.Forecasting the driving range of electric vehicle based on the SOE of battery[J].Battery Bimonthly,2017,47(3). |
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| Authors: | LIN Shi-li SONG Wen-ji LV Jie FENG Zi-ping |
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| Abstract: | The 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. |
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| Keywords: | state of energy(SOE) electric vehicle driving range prediction power supply and demand model |
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