Development of Enhancing Battery Management for Reusing Automotive Lithium-Ion Battery
In this study, a battery management system (BMS) is developed for reused lithium-ion battery (RLIB). Additional enhancing functions of battery management are established, i.e., estimation of life-sensitized parameters and life extension. Life-sensitizing parameters mainly include open-circuit voltag...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-06-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/13/13/3306 |
| _version_ | 1797563954468225024 |
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| author | Wen-Poo Yuan Se-Min Jeong Wu-Yang Sean Yi-Hsien Chiang |
| author_facet | Wen-Poo Yuan Se-Min Jeong Wu-Yang Sean Yi-Hsien Chiang |
| author_sort | Wen-Poo Yuan |
| collection | DOAJ |
| description | In this study, a battery management system (BMS) is developed for reused lithium-ion battery (RLIB). Additional enhancing functions of battery management are established, i.e., estimation of life-sensitized parameters and life extension. Life-sensitizing parameters mainly include open-circuit voltage (OCV) and internal resistances (IRs). They are sensitized parameters individually relative to state of charge (SOC) and state of health (SOH). For estimating these two parameters, an adaptive control scheme is implemented in BMS. This online adaptive control approach has been extensively applied to nonlinear systems with uncertainties. In two experiments, OCV and IRs of reused battery packs are accurately extracted from working voltage and discharge current. An offline numerical model using a schematic method is applied to verify the applicability and efficiency of this proposed online scheme. Furthermore, a solution of actively extending life by using an ultracapacitor to share peak power of RLIB through adjusting duty ratio is also proposed. It is shown that this enhancing battery management for RLIB can properly estimate OCV and IRs, and actively extend the life of the RLIB in two experiments. |
| first_indexed | 2024-03-10T18:50:32Z |
| format | Article |
| id | doaj.art-95986779ac5d45068a2a329ae96edb79 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T18:50:32Z |
| publishDate | 2020-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-95986779ac5d45068a2a329ae96edb792023-11-20T05:12:28ZengMDPI AGEnergies1996-10732020-06-011313330610.3390/en13133306Development of Enhancing Battery Management for Reusing Automotive Lithium-Ion BatteryWen-Poo Yuan0Se-Min Jeong1Wu-Yang Sean2Yi-Hsien Chiang3Wistron Corporation, Hsichih 22181, TaiwanDepartment of Naval Architecture and Ocean Engineering, Chosun university, Gwangju 61452, KoreaCenter for Environmental Risk Management, Chung Yuan Christian University, ChungLi 32023, TaiwanVigourpack Co., Ltd., Taichung 408, TaiwanIn this study, a battery management system (BMS) is developed for reused lithium-ion battery (RLIB). Additional enhancing functions of battery management are established, i.e., estimation of life-sensitized parameters and life extension. Life-sensitizing parameters mainly include open-circuit voltage (OCV) and internal resistances (IRs). They are sensitized parameters individually relative to state of charge (SOC) and state of health (SOH). For estimating these two parameters, an adaptive control scheme is implemented in BMS. This online adaptive control approach has been extensively applied to nonlinear systems with uncertainties. In two experiments, OCV and IRs of reused battery packs are accurately extracted from working voltage and discharge current. An offline numerical model using a schematic method is applied to verify the applicability and efficiency of this proposed online scheme. Furthermore, a solution of actively extending life by using an ultracapacitor to share peak power of RLIB through adjusting duty ratio is also proposed. It is shown that this enhancing battery management for RLIB can properly estimate OCV and IRs, and actively extend the life of the RLIB in two experiments.https://www.mdpi.com/1996-1073/13/13/3306reused batteryadaptive control theorybattery management system (BMS)internal resistancesopen-circuit voltage |
| spellingShingle | Wen-Poo Yuan Se-Min Jeong Wu-Yang Sean Yi-Hsien Chiang Development of Enhancing Battery Management for Reusing Automotive Lithium-Ion Battery Energies reused battery adaptive control theory battery management system (BMS) internal resistances open-circuit voltage |
| title | Development of Enhancing Battery Management for Reusing Automotive Lithium-Ion Battery |
| title_full | Development of Enhancing Battery Management for Reusing Automotive Lithium-Ion Battery |
| title_fullStr | Development of Enhancing Battery Management for Reusing Automotive Lithium-Ion Battery |
| title_full_unstemmed | Development of Enhancing Battery Management for Reusing Automotive Lithium-Ion Battery |
| title_short | Development of Enhancing Battery Management for Reusing Automotive Lithium-Ion Battery |
| title_sort | development of enhancing battery management for reusing automotive lithium ion battery |
| topic | reused battery adaptive control theory battery management system (BMS) internal resistances open-circuit voltage |
| url | https://www.mdpi.com/1996-1073/13/13/3306 |
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