Charge State Estimation of Power Battery Based on CARMA Model
In order to perfect main functions of electric vehicle battery management system, this paper aims to realize accurate battery modeling and state of charge(SOC) estimation. In this paper, based on the second-order RC equivalent circuit model, a controlled auto regressive moving average (CARMA) of the...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | zho |
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Editorial Office of Control and Information Technology
2020-01-01
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| Series: | Kongzhi Yu Xinxi Jishu |
| Subjects: | |
| Online Access: | http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2020.01.400 |
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| _version_ | 1849224859756789760 |
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| author | HUANG Yusha CHEN Yushan QIN Linlin SHI Chun WU Gang |
| author_facet | HUANG Yusha CHEN Yushan QIN Linlin SHI Chun WU Gang |
| author_sort | HUANG Yusha |
| collection | DOAJ |
| description | In order to perfect main functions of electric vehicle battery management system, this paper aims to realize accurate battery modeling and state of charge(SOC) estimation. In this paper, based on the second-order RC equivalent circuit model, a controlled auto regressive moving average (CARMA) of the battery was established. The optimal estimation of open circuit voltage (OCV) is derived from the CARMA model, and battery SOC estimation is realised by OCV-SOC segmentation model. The method realizes online real-time identification of battery model parameters and real-time SOC estimation, which solves the problem of unreasonable initial value setting that affects the accuracy of SOC estimation. Simulation results show that under the operating conditions of the federal city in the United States, the absolute value of the SOC estimation error does not exceed 2.39%, and a more accurate SOC estimation is achieved. |
| format | Article |
| id | doaj-art-2b23dbc7babc4858913da9e52b91e356 |
| institution | Kabale University |
| issn | 2096-5427 |
| language | zho |
| publishDate | 2020-01-01 |
| publisher | Editorial Office of Control and Information Technology |
| record_format | Article |
| series | Kongzhi Yu Xinxi Jishu |
| spelling | doaj-art-2b23dbc7babc4858913da9e52b91e3562025-08-25T06:50:50ZzhoEditorial Office of Control and Information TechnologyKongzhi Yu Xinxi Jishu2096-54272020-01-01373682320553Charge State Estimation of Power Battery Based on CARMA ModelHUANG YushaCHEN YushanQIN LinlinSHI ChunWU GangIn order to perfect main functions of electric vehicle battery management system, this paper aims to realize accurate battery modeling and state of charge(SOC) estimation. In this paper, based on the second-order RC equivalent circuit model, a controlled auto regressive moving average (CARMA) of the battery was established. The optimal estimation of open circuit voltage (OCV) is derived from the CARMA model, and battery SOC estimation is realised by OCV-SOC segmentation model. The method realizes online real-time identification of battery model parameters and real-time SOC estimation, which solves the problem of unreasonable initial value setting that affects the accuracy of SOC estimation. Simulation results show that under the operating conditions of the federal city in the United States, the absolute value of the SOC estimation error does not exceed 2.39%, and a more accurate SOC estimation is achieved.http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2020.01.400SOC(state of charge)CARMA(controlled auto-regressive moving average)power batterySOC estimation |
| spellingShingle | HUANG Yusha CHEN Yushan QIN Linlin SHI Chun WU Gang Charge State Estimation of Power Battery Based on CARMA Model Kongzhi Yu Xinxi Jishu SOC(state of charge) CARMA(controlled auto-regressive moving average) power battery SOC estimation |
| title | Charge State Estimation of Power Battery Based on CARMA Model |
| title_full | Charge State Estimation of Power Battery Based on CARMA Model |
| title_fullStr | Charge State Estimation of Power Battery Based on CARMA Model |
| title_full_unstemmed | Charge State Estimation of Power Battery Based on CARMA Model |
| title_short | Charge State Estimation of Power Battery Based on CARMA Model |
| title_sort | charge state estimation of power battery based on carma model |
| topic | SOC(state of charge) CARMA(controlled auto-regressive moving average) power battery SOC estimation |
| url | http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2020.01.400 |
| work_keys_str_mv | AT huangyusha chargestateestimationofpowerbatterybasedoncarmamodel AT chenyushan chargestateestimationofpowerbatterybasedoncarmamodel AT qinlinlin chargestateestimationofpowerbatterybasedoncarmamodel AT shichun chargestateestimationofpowerbatterybasedoncarmamodel AT wugang chargestateestimationofpowerbatterybasedoncarmamodel |