Rui Du, Bin Wang, Yanfeng Zhao, Wen Zhou, Chaohui Wang, Chunwu Xiao
{"title":"High-voltage bidirectional balancing structure and model predictive control for cell balancing of supercapacitors in heavy duty HEV applications","authors":"Rui Du, Bin Wang, Yanfeng Zhao, Wen Zhou, Chaohui Wang, Chunwu Xiao","doi":"10.1016/j.energy.2025.136239","DOIUrl":null,"url":null,"abstract":"<div><div>Supercapacitors, which offer unique high-power and fast charge/discharge operation performance, have emerged as a promising energy storage solution for heavy duty hybrid electric vehicle (HEV) applications. However, state-of-energy (SOE) inconsistency among supercapacitors would affect the safety and operating efficiency of the overall supercapacitor system. This study proposes a cell balancing method based on a novel high-voltage bidirectional balancing structure and a model predictive control (MPC) for supercapacitors in heavy duty HEV applications. To achieve high-efficiency energy balancing, the high-voltage bidirectional balancing structure with isolated DC-DC converters is developed. The isolated DC-DC converters can achieve special boost-buck balancing with a bidirectional flyback circuit. On this basis, the MPC is introduced for optimizing the balancing energy through the switch control of the bidirectional flyback circuit, which would achieve a fast and stable SOE balancing for supercapacitors. Simulation and experimental analyses are conducted to validate the proposed balancing method. Results show that the proposed balancing method can achieve fast balancing among supercapacitors in heavy duty HEV applications. Compared with the conventional constant current-constant voltage (CC-CV) control balancing method, it can reduce the balancing time by 34.4 %. Moreover, the proposed balancing method can achieve balancing accuracy up to 0.5 %.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"326 ","pages":"Article 136239"},"PeriodicalIF":9.0000,"publicationDate":"2025-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Energy","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S036054422501881X","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0
Abstract
Supercapacitors, which offer unique high-power and fast charge/discharge operation performance, have emerged as a promising energy storage solution for heavy duty hybrid electric vehicle (HEV) applications. However, state-of-energy (SOE) inconsistency among supercapacitors would affect the safety and operating efficiency of the overall supercapacitor system. This study proposes a cell balancing method based on a novel high-voltage bidirectional balancing structure and a model predictive control (MPC) for supercapacitors in heavy duty HEV applications. To achieve high-efficiency energy balancing, the high-voltage bidirectional balancing structure with isolated DC-DC converters is developed. The isolated DC-DC converters can achieve special boost-buck balancing with a bidirectional flyback circuit. On this basis, the MPC is introduced for optimizing the balancing energy through the switch control of the bidirectional flyback circuit, which would achieve a fast and stable SOE balancing for supercapacitors. Simulation and experimental analyses are conducted to validate the proposed balancing method. Results show that the proposed balancing method can achieve fast balancing among supercapacitors in heavy duty HEV applications. Compared with the conventional constant current-constant voltage (CC-CV) control balancing method, it can reduce the balancing time by 34.4 %. Moreover, the proposed balancing method can achieve balancing accuracy up to 0.5 %.
期刊介绍:
Energy is a multidisciplinary, international journal that publishes research and analysis in the field of energy engineering. Our aim is to become a leading peer-reviewed platform and a trusted source of information for energy-related topics.
The journal covers a range of areas including mechanical engineering, thermal sciences, and energy analysis. We are particularly interested in research on energy modelling, prediction, integrated energy systems, planning, and management.
Additionally, we welcome papers on energy conservation, efficiency, biomass and bioenergy, renewable energy, electricity supply and demand, energy storage, buildings, and economic and policy issues. These topics should align with our broader multidisciplinary focus.