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面向智能电池组的多功能控制算法

A Multifunctional Control Algorithm for Smart Battery Packs

作者 Erich F. Rosa · Erick M. S. Brito · Marcelo M. Stopa · Heverton A. Pereira · Remus Teodorescu · Allan F. Cupertino
期刊 IEEE Journal of Emerging and Selected Topics in Power Electronics
出版日期 2025年12月
卷/期 第 14 卷 第 1 期
技术分类 储能系统技术
技术标签 储能变流器PCS 电池管理系统BMS 故障诊断 模型预测控制MPC
相关度评分 ★★★★★ 5.0 / 5.0
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中文摘要

本文提出一种面向智能电池组的多功能控制算法,集成脉冲电流延长寿命、基于占空比的SOC均衡、故障电池选择性旁路及安全降压模式四大功能,采用半桥智能电池模块与主-本地数字控制架构,在仿真、c-HIL及三模块原型中验证了其有效性与可扩展性。

English Abstract

Battery energy storage systems (BESSs) are rapidly gaining prominence, driven by the growing demand of the electric mobility sector and stationary applications. However, conventional solutions that rely on the series/parallel association of battery cells present some limitations, notably their low operational flexibility and fault tolerance. On the other hand, smart batteries, i.e., battery cells with integrated power converter, represent a promising solution that allows better energy sharing, active balancing, fault tolerance, and extended lifetime. This article presents a multifunctional control algorithm designed for BESS using smart batteries. The proposed strategy integrates four key functionalities: 1) pulsed-current operation to extend battery lifespan; 2) state-of-charge (SOC) balancing based on duty-cycle control; 3) fault-tolerant operation through selective bypassing of defective batteries; and 4) a safety mode to reduce output voltage for maintenance and protection. These features are enabled by a warm redundancy scheme and a main–local digital control architecture based on half-bridge smart battery modules. The algorithm ensures seamless coordination between all functionalities without increasing the power burden on active batteries. The approach is validated through computer simulations, controller hardware-in-the-loop (c-HIL) experiments, and results on a prototype with three smart batteries, demonstrating its effectiveness and scalability for different system sizes and applications.
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SunView 深度解读

该算法高度契合阳光电源ST系列PCS及PowerTitan储能系统的智能化升级需求,尤其在主动均衡、故障容错和寿命延展方面可直接增强其BMS与PCS协同控制能力。建议将该脉冲电流策略与SOC均衡机制融入PowerTitan下一代固件,并在iSolarCloud平台中拓展智能电池健康状态(SOH)预测模块,提升大型地面/工商业储能项目的可用率与全生命周期收益。