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高精度预测SOC的混合电动车电池管理系统的研究 被引量:14

Research on hybrid electric vehicle's battery management system with high-precision forecast of state of charge (SOC)
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摘要 研制了新型的电动汽车蓄电池组管理系统,该系统在提高采集监测电流、电压、温度等信号精度的基础上,采用了放电率、温度、自放电及容量老化等补偿的安时积分模型的估计,并考虑了自调整,从而可以以较高的精度预测电动汽车的电池荷电状态(SOC). This paper introduces a new type of battery management system (BMS) for Ni-MH batteries in hybrid electric vehicles. On the basis of improving the measurement of parameters such as current, voltage and temperature, the system can estimate the state of charge (SOC) of the batteries with high precision by adopting the ampere-hour model with compensation in charge-discharge rate, temperature, self-discharge, aging and the consideration of self-adjustment.
出处 《高技术通讯》 CAS CSCD 北大核心 2006年第4期391-394,共4页 Chinese High Technology Letters
基金 863计划(2003AA501131)资助项目.
关键词 荷电状态 电池管理系统 混合电动汽车 安时模型 state of charge (SOC), battery management system (BMS), hybrid electric vehicle (HEV), amperehour model
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