项目名称: 锂电池管理系统的估计和控制算法研究
项目编号: No.61203015
项目类型: 青年科学基金项目
立项/批准年度: 2013
项目学科: 自动化学科
项目作者: 刘之涛
作者单位: 浙江大学
项目金额: 24万元
中文摘要: 本项目的研究对象是锂电池管理系统。通过研究锂电池的估计和控制算法,构建一套完善的锂电池管理系统的设计方法,提高锂电池的能源利用率,安全性及电池的寿命。 锂电池管理系统的主要功能包括:锂电池荷电状态(SOC)和健康状态(SOH)估计和监测,单体锂电池间的均衡控制(Cell balancing),锂电池组的充放电控制策略及锂电池组的热管理。由于系统的分析和综合的复杂性,现有的研究成果主要集中在锂电池的电路等效模型和数学统计模型的估计和控制上。而本项目将从锂电池的电化学原理出发,针对锂电池的电化学反应动力学模型,利用非线性的估计和控制算法- - backstepping,建立基于偏微分方程的锂电池荷电状态SOC的观测器和均衡控制器,提高锂电池荷电状态(SOC)的估计精度,并在此基础上进一步研究锂电池的充放电控制策略,提高锂电池的充放电效率,同时优化锂电池的热管理方法,提高锂电池的安全性和使用寿命。
中文关键词: 锂电池管理系统;非线性控制算法;非线性估计算法;Backstepping算法;
英文摘要: In the project, we will focus on the battery management systems (BMS) of lithium-ion battery. We will develop the estimation and control methods,and establish an advanced battery management system,to improve the energy and operational efficiency, prolong lifetime of batteries and enhance safe operations of batteries. The main functions of the battery management systems contain the estimation of the state-of-charge (SOC) and state-of-health (SOH) of the lithium-ion battery, cell balancing, charging/discharging strategies and thermal management. According to the difficulty and complexity of the battery management systems, the estimation and control algorithms are mainly based on the equivalent circuit models and the mathematical models. However, in the project, we will use the backstepping method to develop the advanced observer and controller for the lithium-ion battery electrochemical model, which is the partial differential equation(PDE). Based on the accurate information (SOC, SOH), we will develop control strategies for battery charging/discharging, balancing of lithium-ion battery cells and optimal thermal management, to improve the safety and lifetime of batteries.
英文关键词: Lithium ion battery management system;Nonlinear control design;Nonlinear estimation design;Backstepping;