上海交通大学学报

上海交通大学学报 >

2024 , Vol. 58 >Issue 5: 719 - 729

DOI: https://doi.org/10.16183/j.cnki.jsjtu.2022.285

新型电力系统与综合能源

基于双级主动式拓扑的锂电池寿命优化

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  • 1.上海交通大学 宁波人工智能研究院, 浙江 宁波 315000
    2.上海交通大学 自动化系, 上海 200240
张 诚(1999-),硕士生,从事混合储能管理系统研究.
琚长江,副研究员; E-mail: 13818275725@163.com.

收稿日期: 2022-07-21

  修回日期: 2022-08-13

  录用日期: 2022-08-26

  网络出版日期: 2023-03-03

基金资助

网络协同制造和智能工厂国家重点研发计划(2020YFB1711200)

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Optimization of Lithium Battery Lifetime Based on Dual-Stage Active Topology

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  • 1. Ningbo Artificial Intelligence Institute, Shanghai Jiao Tong University, Ningbo 315000, Zhejiang, China
    2. Department of Automation, Shanghai Jiao Tong University, Shanghai 200240, China

Received date: 2022-07-21

  Revised date: 2022-08-13

  Accepted date: 2022-08-26

  Online published: 2023-03-03

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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.

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

本文引用格式

张诚, 琚长江, 熊灿, 杨根科 . 基于双级主动式拓扑的锂电池寿命优化[J]. 上海交通大学学报, 2024 , 58(5) : 719 -729 . DOI: 10.16183/j.cnki.jsjtu.2022.285

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.

Key words： hybrid energy storage system; power allocation strategy; lifetime optimization; dual-stage active topology

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