分析测试学报2025，Vol.44Issue(10)：2184-2190,7.DOI:10.12452/j.fxcsxb.241119539
基于总线LC谐振的电池组失衡检测及其原位修复方法研究
Research on Battery Imbalance Detection and In-situ Restoration Method Based on Bus LC Resonance
摘要
Abstract
Series battery packs are prone to overcharge and over-discharge issues due to inconsistent individual cell characteristics,necessitating efficient electrical signal detection and in-situ restora-tion.Among existing active balancing solutions,capacitive detection circuits have become research hot-spot owing to compact structure and low cost.However,traditional schemes are easily con-strained by the initial electrical signal distribution.To address this technical challenge,this study in-novatively proposed an electrical signal detection and in-situ repair method based on the principle of bus LC resonance.By establishing a resonant operation mode,this technology achieved high-efficien-cy energy conversion without requiring complex control algorithms.This paper systematically elabo-rated on the topological design,working mechanism,and energy transfer characteristics of the reso-nant circuit.By establishing simulation models for 6-cell,8-cell,and 10-cell packs,both simula-tion analysis and experimental results demonstrate that the equalizer can support electrical signal de-tection and balancing for an arbitrary number of cells.Its balancing speed is independent of the num-ber of series battery pack.The results demonstrated that the proposed method exhibits significant ad-vantages in both energy conversion efficiency and system robustness,offering a novel technical path-way for battery pack balancing management.关键词
串联电池组/电信号检测/原位修复/LC谐振/修复器Key words
series battery pack/electrical signal detection/in-situ restoration/LC resonance/re-storers分类
化学化工引用本文复制引用
陈洋,翁宗发,吴泽鑫,黄佩晴,姜伟..基于总线LC谐振的电池组失衡检测及其原位修复方法研究[J].分析测试学报,2025,44(10):2184-2190,7.基金项目
国家重点研发计划(2022YFF0607201) （2022YFF0607201）
国家自然科学基金资助项目(52171331,51907082) （52171331,51907082）
广州市科技计划项目(2023A03J0646,2023A03J0120,2023A04J1013) （2023A03J0646,2023A03J0120,2023A04J1013）
海关总署课题(2022HK062) （2022HK062）
