摘要
随着全球的能源危机越演越烈,新型二次电池锂离子电池的应用越来越广,尤其是大中型锂离子电池组的应用。但是由于锂离子电池组呈模块化,所以在实际应用中会牵涉到安全性能和电池循环寿命等新的问题,这些问题如果得不到及时解决,它将制约着锂离子电池组的应用。因此,针对这些大中型锂离子电池组的管理问题,电池管理系统孕育而生,通过该管理系统可以解决上述的问题,因此,锂离子电池管理系统已经成为了锂离子电池应用的焦点。
锂离子电池组主要研究点分为电池组的电量管理系统、锂离子电池组的均衡管理系统以及电池组的状态管理系统三大部分,本文也着重从这三个方面展开研究。通过电池组电量管理来为电池组均衡管理作出执行抉择;而均衡管理是解决电池组过充过放可能带来的安全问题以及电池组的寿命和性能等一系列问题;状态管理系统是充当系统保护和为用户提供信息互换的角色。
本文先介绍锂离子电池组的荷电状态的算法,在使用方法上与现有的算法相结合;接下来研究锂离子电池组的状态管理系统,利用状态转换机和DoD算法分别解决电池组管理系统能耗和循环寿命精确估算等问题;作为本文研究的核心之一,重点研究锂离子电池组的均衡管理方法,文中采用零电流准谐振双向无损DC-DC均衡方案,能使均衡效率提高30%以上;最后通过实验对比检验均衡系统效果和电池组管理系统的效率,均实现了预期的目标。
With the global energy crisis is becoming more and more intense, the lithium ionbattery is applied more widely, especially for the large and medium-sized the lithiumion battery application. However, as a result that lithium ion battery has a modular. Itwill involve safety performance and cycle life of the battery and other new problemsin practical application. If these problems can not be solved in time, it will become astumbling block to the lithium ion battery application。Therefore, in view of the largeand medium-sized lithium ion battery management problem, battery managementsystem which can solve the above problem was born. So, a lithium ion batterymanagement system has become the focus of application of lithium ion batteries.
Lithium ion battery research points for the three parts which is the battery powermanagement system, balancing lithium ion battery management system and thecondition of the battery pack management system, and this paper also focuses on thethree aspects of this research. It will help the battery equalization management tomake executive decisions through the battery power management; and balancedmanagement can solve the battery overcharge and over-discharge which may causesafety problems, battery life, performance and a series of other problems. Statemanagement system is a role that it protective a system and provide users withinformation exchange.
This article firstly introduced the lithium ion battery SOC algorithm, which theusing methods is combined with the present algorithm. The following study is thelithium ion battery condition management system,using the state machine and theDoD algorithm respectively solve the battery management system of energyconsumption and the cycle life of accurate estimation problem and so on. As one ofthe core of this article, it focuses on the study of balancing lithium ion batterymanagement method. This article adopts a zero current quasi resonant bidirectionalnondestructive DC-DC equalization scheme, which can make the balanced efficiencyimproved by more than 30%. Finally through the experiment to contrast the equalization system and battery management system efficiency, it both realized theexpected target.
引文
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