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车用动力电池充放电特性与智能管理技术

Charge-discharge Characteristics and Intelligent Management Technology of Vehicle Battery

【作者】 刘彦忠

【导师】 张奕黄;

【作者基本信息】 北京交通大学 , 电气工程, 2012, 硕士

【摘要】 摘要:能源危机、环境污染等诸多的因素把电动汽车推上了历史的舞台。发展电动汽车具有节能和环保的双重效益,尤其是纯电动汽车在能量总转换效率和污染总排放方面具有明显优势,是未来汽车产业的发展方向。但是车用动力电池却成为制约电动汽车发展的瓶颈,能量密度低限制了电动车的续航里程,电池成组后使用寿命缩短和安全性能下降以及电池充电时间长等问题都阻碍了电动汽车的产业化。为了增加电动汽车的续航里程,保持车用动力电池的性能良好,对电池系统进行有效全面的监控和管理是有非常有必要的。电池管理系统(BMS)成为电动汽车商业化、实用化的关键。电池管理系统的主要功能包括单体电池的电压监测、温度监测、电池组总电压的监测、电池剩余电量的估计、电池均衡控制管理、电池安全保护等。而核心问题是对电池荷电状态(SOC)的估计,系统中许多功能的实现都是以SOC的准确估计为前提的。电池管理技术可以防止成组电池出现的滥用和不合理使用,保障电池使用的长寿命和安全性,提高电动车运行的效率,实现电池容量和能量利用的高效性。本文以电动游览车的电池管理为研究内容,设计了适合磷酸铁锂动力电池使用的管理系统。文中首先阐述了研究背景,内容涉及电动汽车的研究现状、动力电池和电池管理技术的发展。第二章通过四个特性实验研究了磷酸铁锂电池的充放电特性,选择了合适的电池模型并且确定了电池模型参数的获取方法。第三章重点研究了SOC估算的几种方法,提出了适合磷酸铁锂电池使用的复合估算方法。复合算法是基于EKF算法并结合开路电压法和安时积分法来对电池的SOC进行估算的,并对复合算法进行了仿真验证。第四章论述了电池成组应用和均衡的有关问题。第五章重点介绍了电池管理系统的硬件、软件设计,以及LABVIEW单体电池电压监控界面。

【Abstract】 The energy crisis, environmental pollution, and many other factors bring electric vehicles to the stage of history. The development of electric vehicles has the dual benefits of energy conservation and environmental protection, especially pure electric vehicles has the obvious advantages in the total conversion of energy efficiency and pollution emissions, electric vehicles is the future direction of development of the automobile industry. But Vehicle battery has become a bottleneck restricting in the development of electric vehicles, low energy density limits the mileage of electric cars, the shorten life of vehicles power battery pack and the drop of the safety performance hinder the industrialization of electric vehicles, as well as battery charging using a long time.In order to increase the mileage of electric vehicles, keep the vehicle power battery performance, using an effective and comprehensive monitoring and management of battery system is very necessary. The battery management system (BMS) has become the key to the commercialization of electric vehicles practical. The main functions of the battery management system include voltage monitor of single battery cells, temperature monitoring, voltage monitor of the battery pack, the estimate of the remaining capacity, and management of the battery balanced, battery safety protection and so on.But the core issue is the estimate of SOC, many features of the system, accurate estimate of the SOC is a premise for many features of the system to achieve. Battery management technology can prevent the unreasonable use of the group of batteries, can ensure long battery life and security of the battery, improve the efficiency when electric cars is running, keep battery capacity and improve energy efficiency.The first chapter describes the research background, including the research of the electric car, and the development of the power battery and battery management technology. The second chapter studies charge-discharge characteristics of the vehicle power battery by four experiments, selects the appropriate battery model and determines the method of the battery model parameters calculation. The third chapter focuses on several methods of SOC estimated and proposed compound estimated method for the phosphate iron lithium of SOC estimated. The composite algorithm is based on the EKF algorithm and combined with the open-circuit voltage method and the current integration method, and simulation results show the feasibility of complex algorithms. The fourth chapter deals with issues related to battery group applications and battery balanced battery. The last chapter focuses on battery management system hardware and software designing, as well as a LABVIEW monitoring interface of single battery voltage.

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