摘要
根据混合动力客车锂离子动力电池组单体只数多、分布比较分散的特点,设计了基于双 CAN 总线的分布式电池管理系统(BMS)。该系统由若干采样模块和一个主控模块组成,与动力电池之间的连线数量少,可扩展性强,而且采用复杂可编程逻辑器件(CPLD)技术实现了串联电池组单体电压的采样方法,实现了温度的低成本采样方法,建立了基于"预测-修正"方法的动力电池荷电状态(SOC)的估算方法,可以实时地修正 SOC估计的误差和可靠地实现对动力电池运行时状态参数的监测,提高电池 SOC 的估算精度。
A double CAN-based battery management system (BMS) was designed for Li-ion power batteries used in hybrid electric buses on the basis of the considerations that the batteries' ceils are numerous and are distributed dispersedly on buses. Tne BMS consists of one master module and several sampling modules. It samples the voltage of each cell of a series battery with the complex programmable logic device (CPLD) technique, samples the temperature with a low cost method, and adopts a "prediction and correction" based approach to estimate the state of charge (SOC) of a battery. Tne BMS can monitor the working battery' s states reliably and improve the estimation accuracy for the battery SOC.
出处
《高技术通讯》
CAS
CSCD
北大核心
2008年第2期173-178,共6页
Chinese High Technology Letters
基金
863计划(2005AA501550)资助项目
关键词
电动汽车
锂离子电池
电池管理系统
电池荷电状态估计
electric vehicle, Li-ion battery, battery management system, state-of-charge estimation