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5kW锂电池模组BMS的研究与开发
引用本文:甘屹,陈成,曾乐才. 5kW锂电池模组BMS的研究与开发[J]. 能源研究与信息, 2015, 31(2): 114-118
作者姓名:甘屹  陈成  曾乐才
作者单位:上海理工大学机械工程学院;上海电气集团
摘    要:设计了以MSP430为控制核心的用于5 k W锂电池管理系统(BMS).建立了关于电池荷电状态的模型,在实际估计中,采用开路电压和按时积分相结合的方法且有较高的精度;采取电池均衡充电的方案,补偿了电池容量的差异性,进而使得电池组的使用寿命延长.电池荷电状态估算的改进方案解决了按时计量法无法确定初始荷电状态、难以精准测得库仑效率等问题,确保了电池管理系统处于稳定工作状态.该系统具有抗干扰能力极强、硬件电路可靠、且十分经济的特点.经过实验验证,利用该系统进行SOC剩余容量估计的结果较为精确.

关 键 词:锂电池  电池管理系统(BMS)  电池荷电状态(SOC)估计  均衡管理  MSP 430
收稿时间:2014-03-23

Research and development of a battery management system for a 5 kW lithium battery unit
GAN Yi,CHEN Cheng and ZENG Lecai. Research and development of a battery management system for a 5 kW lithium battery unit[J]. Energy Research and Information, 2015, 31(2): 114-118
Authors:GAN Yi  CHEN Cheng  ZENG Lecai
Affiliation:GAN Yi;CHEN Cheng;ZENG Lecai;School of Mechanical Engineering,University of Shanghai for Science and Technology;Shanghai Electic Group;
Abstract:A battery management system(BMS) for 5 kW lithium battery with the microcontroller MSP430 was designed.Its state of charge model was established.The combination of ampere-time integral and open circuit voltage was adopted with high precision.A new equalization method was designed to compensate the unbalance between batteries,which could lengthen the battery life.This improved state of charge estimation algorithm could resolve the problems including initial state of charge determination,accurate measurement of efficiency,and so on.And thus the BMS functioned stably.The system had the advantages of reliable circuit,economy,and anti-jamming.The remaining capacity estimation was accurate by using this system in the practical operations.
Keywords:lithium battery  battery management system  state of charge estimation  equalizing management  MSP 430
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