储能锂电池系统综合管理研究进展

徐俊; 郭喆晨; 谢延敏; 赵子翔; 刘召欢; 林川平; 王行早; 侯嘉洋; 史辰威; 马梓玮; 张健琛; 梁莹; 蒋德珑; 梅雪松

doi:10.7652/xjtuxb202410001

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储能锂电池系统综合管理研究进展

专题电动车辆先进电池管理 | 更新时间：2025-07-28

- 储能锂电池系统综合管理研究进展
  增强出版
- Review of Research Progress in Integrated Management for Energy Storage Lithium Battery Systems
- 西安交通大学学报 2024年58卷第10期页码：1-23
- 作者机构：
  
  1. 西安交通大学精密微纳制造技术全国重点实验室,西安,710049
  2. 西安交通大学机械工程学院,西安,710049
  3. 洛阳理工学院电气工程与自动化学院,河南,洛阳,471000
- 作者简介：
  
  : 2024-03-13。作者简介: 徐俊(1986—),男,教授,博士生导师。基金项目: 国家自然科学基金资助项目(52075420)。
- 基金信息：
  
  : 2024-03-13。作者简介: 徐俊(1986—),男,教授,博士生导师。基金项目: 国家自然科学基金资助项目(52075420)。
- DOI：10.7652/xjtuxb202410001
  中图分类号： TG156
- 网络首发：2024-10-10，
  
  纸质出版：2024
- 稿件说明：
移动端阅览
徐俊, 郭喆晨, 谢延敏, 等. 储能锂电池系统综合管理研究进展[J]. 西安交通大学学报, 2024,58(10):1-23.

XU Jun, GUO Zhechen, XIE Yanmin, et al. Review of Research Progress in Integrated Management for Energy Storage Lithium Battery Systems[J]. 2024, 58(10): 1-23.
徐俊, 郭喆晨, 谢延敏, 等. 储能锂电池系统综合管理研究进展[J]. 西安交通大学学报, 2024,58(10):1-23. DOI： 10.7652/xjtuxb202410001.

XU Jun, GUO Zhechen, XIE Yanmin, et al. Review of Research Progress in Integrated Management for Energy Storage Lithium Battery Systems[J]. 2024, 58(10): 1-23. DOI： 10.7652/xjtuxb202410001.

摘要

锂电池系统是新型储能系统的重要组成部分

电池管理技术对确保电池系统的安全、高效运行和延长使用寿命具有重要意义。从电池系统的模型、状态、故障、一致性、热管理等层面出发

综述了锂电池管理的研究进展。在电池模型方面

分析总结了电池在电、热、力等特性的建模及高效计算方法。对于电池的状态估计

总结了基于模型、数据驱动以及两者相结合的状态估计方法以及各自的优缺点

分析了构建数据驱动与电池领域知识融合框架的未来发展前景。在电池故障方面

分析了电池系统不同故障特征、类型、触发机制和诊断方法

对电池系统在早期故障预警、故障检测灵敏度提升等方面进行了展望。对于电池系统的一致性

总结分析了在均衡拓扑和均衡策略两个方面的研究现状

并对电池重构在均衡、快充、能量利用提升、故障隔离等方面的应用进行了分析。在电池热管理方面

分析了高温冷却以及低温加热的方法

并对热管理系统的优化设计和控制策略进行了总结

对开发高效换热、轻量化以及低能耗的先进热管理系统进行了探讨。此外

对电池管理系统的新技术和应用场景进行了概述

分析了数字孪生技术以及储能综合管理在电池系统上的应用

为未来电池管理的发展提供了参考。

Abstract

Lithium battery systems are essential components of new energy storage systems

and effective battery management technology is critical for ensuring their safe

efficient operation

and extended lifespan. A comprehensive review of recent research progress in the field of battery management is presented

covering various aspects including battery system modeling

state estimation

fault diagnosis

consistency

and thermal management. In terms of battery modeling

efficient computational methods and modeling techniques that encompass electrical

thermal

and mechanical characteristics of batteries are analyzed and summarized. State estimation methods

including model-based

data-driven

and hybrid approaches

are reviewed along with their respective advantages and limitations. The future potential of establishing a framework for the integration of data-driven methodologies with domain-specific battery knowledge is also discussed. The analysis of battery faults encompasses an examination of different fault characteristics

types

triggering mechanisms

and diagnostic methods for battery systems. Furthermore

insights into early fault detection and improved fault detection sensitivity in battery systems are offered. Regarding battery consistency

the research status of balanced topology and balancing strategies is summarized and analyzed. The application of battery reconfiguration for balancing

fast charging

enhanced energy utilization

and fault isolation is discussed and organized. In terms of battery thermal management

various methods for high-temperature cooling and low-temperature heating are explored. A summary of optimization designs and control strategies for thermal management systems is provided

with a focus on the development of advanced

efficient

lightweight

and energy-efficient thermal management systems. Furthermore

an overview of emerging technologies and application scenarios in battery management systems is offered. The utilization of digital twin technology and integrated energy management in battery systems is analyzed

providing valuable references for the future development of battery management practices.

关键词

Keywords

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