基于双级主动式拓扑的锂电池寿命优化
Optimization of Lithium Battery Lifetime Based on Dual-Stage Active Topology
张诚 1琚长江 1熊灿 1杨根科1
作者信息
- 1. 上海交通大学宁波人工智能研究院,浙江宁波 315000;上海交通大学 自动化系,上海 200240
- 折叠
摘要
随着储能充电站的应用需求逐渐上升,锂电池作为主要储能载体应用广泛.但在大功率且频繁充放电工况下,锂电池循环寿命会显著降低,导致储能成本升高.鉴于超级电容具有长寿命优势,构造由超级电容与锂电池组成的混合储能系统,通过优化控制策略提高锂电池寿命并降低储能充电站的投运成本.提出双级主动式拓扑的混合储能系统,由锂电池为两个超级电容模组交替充电,再通过超级电容模组高倍率放电.基于此,根据充电桩工况提出多阶段功率状态估计协同规划策略,通过优化功率分配方案来平缓锂电池功率波动,从而保护锂电池.仿真结果表明:相较于纯锂电池储能和传统全主动式拓扑储能,双级主动式拓扑储能方案显著提高了锂电池循环寿命.
Abstract
With the increasing demand for energy storage charging stations,many energy storage systems utilize lithium batteries as the major carriers.However,due to frequent charging and discharging at high power levels,the cycle life of lithium batteries is greatly reduced,which increases the energy storage costs.Given the longevity of supercapacitors,a supercapacitor-lithium hybrid energy storage system has been developed to effectively extend the lifespan of lithium batteries and reduce both investment and operational costs of energy storage charging stations.Based on the dual-stage active topology,a hybrid energy storage system combining supercapacitor-lithium is proposed.Under mild load conditions,two supercapacitor modules are alternatively charged by the lithium battery.Then,the supercapacitor modules are discharges when high power demands are encountered.Accordingly,based on working conditions of the charging pile,a multi-stage strategy,integrating state-of-power estimation and programming,is proposed to optimize the power distribution,smooth the power fluctuation of the lithium battery,and protect the lithium battery.The simulation results show that compared with the lithium batteries only energy storage and the traditional full active topology energy storage,the dual-stage active topology energy storage significantly improves the cycle life of lithium batteries.
关键词
混合储能系统/功率分配策略/寿命优化/双级主动式拓扑Key words
hybrid energy storage system/power allocation strategy/lifetime optimization/dual-stage active topology引用本文复制引用
基金项目
网络协同制造和智能工厂国家重点研发计划(2020YFB1711200)
出版年
2024
NETL
NSTL
万方数据