一种用于低速电动汽车的锂电池管理系统研究
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摘要
设计了一种用于低速电动汽车的高精度锂电池组管理系统。该系统采用LTC6804-2芯片实现电池组电压的采样和电池组电压的均衡,通过INA225-Q1来测量电池组的充、放电电流。此外,系统还采用STM32F103VET6作为主控制芯片对检测数据进行分析与处理,并通过一种改进型扩展卡尔曼滤波算法估算电池剩余电量(SOC)。经24串锂电池组充放电测试验证,单体电池电压采样精度达到±5 mV,电池组充放电电流采样精度达到±1%,均衡效果可使电池组的压差控制在±15 mV以内,电池组剩余电量估算误差在±5%以内。
A high accuracy lithium battery management system for low speed electric vehicles is designed.LTC6804-2 is used to sense the battery voltage to realize the battery equalization.The INA225-Q1 is used to sense the charging and discharging current of battery pack. Moreover, the microprocessor STM32 F103 VET6 is adopted as the main controller to analyse and process the test datas.The state of charging(SOC) is calculated by an improved extended Kalman filter algorithm.The test results show that the sampling accuracy of a single cell voltage is up to ±5 mV.The sampling accuracy of charging and discharging current of the battery pack can reach to ±1%.The function of battery voltage equalization can control the voltage error below ±15 mV.In addition,SOC estimation error is within ±5%.
A high accuracy lithium battery management system for low speed electric vehicles is designed.LTC6804-2 is used to sense the battery voltage to realize the battery equalization.The INA225-Q1 is used to sense the charging and discharging current of battery pack. Moreover, the microprocessor STM32 F103 VET6 is adopted as the main controller to analyse and process the test datas.The state of charging(SOC) is calculated by an improved extended Kalman filter algorithm.The test results show that the sampling accuracy of a single cell voltage is up to ±5 mV.The sampling accuracy of charging and discharging current of the battery pack can reach to ±1%.The function of battery voltage equalization can control the voltage error below ±15 mV.In addition,SOC estimation error is within ±5%.
引文
[1]郭航.纯电动车电池管理系统的研究[D].南昌:南昌大学,2011.
[2] Lu L,HY Yu,TG Yan.Implementation of the Li-ion Battery Management System Based on DS2438[J].Applied Mechanics Materials,2015,733:714-717.
[3]路长海,刘彪,赵鹏.基于钛酸锂电池的离线均衡研究[J].机械与电子,2015,10(2):20-22.
[4]李林琳,邢顺涛,卞良初.锂电池管理系统的研究与设计[J].科技论坛,2015,23(1):67.
[5]周士芸,岳雅男,邓华军.锂离子电池组SOC算法的比较研究[J].电子制作,2017,18(7):48-50.
[6]王铁成,赵永磊.扩展卡尔曼滤波器在电动汽车锂离子电池SOC中的应用研究[J].顺德职业技术学院学报,2017,15(2):11-14.
[2] Lu L,HY Yu,TG Yan.Implementation of the Li-ion Battery Management System Based on DS2438[J].Applied Mechanics Materials,2015,733:714-717.
[3]路长海,刘彪,赵鹏.基于钛酸锂电池的离线均衡研究[J].机械与电子,2015,10(2):20-22.
[4]李林琳,邢顺涛,卞良初.锂电池管理系统的研究与设计[J].科技论坛,2015,23(1):67.
[5]周士芸,岳雅男,邓华军.锂离子电池组SOC算法的比较研究[J].电子制作,2017,18(7):48-50.
[6]王铁成,赵永磊.扩展卡尔曼滤波器在电动汽车锂离子电池SOC中的应用研究[J].顺德职业技术学院学报,2017,15(2):11-14.