Fractional-Order Modeling and Analysis of a Variable Structure Hybrid Energy Storage System for EVs
Hybrid energy storage system has been widely studied as an important technology for electric vehicles. Since the hybrid energy storage system is a nonlinear and complex system, the modeling of the system and the high-precision nonlinear control strategy are technical difficulties for research. The e...
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2020/7643812 |
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| author | Jianlin Wang Dan Xu Jiahui Zhou Jinlu Mao |
| author_facet | Jianlin Wang Dan Xu Jiahui Zhou Jinlu Mao |
| author_sort | Jianlin Wang |
| collection | DOAJ |
| description | Hybrid energy storage system has been widely studied as an important technology for electric vehicles. Since the hybrid energy storage system is a nonlinear and complex system, the modeling of the system and the high-precision nonlinear control strategy are technical difficulties for research. The establishment of a high-precision mathematical model of the hybrid energy storage system is the basis for the study of high-quality nonlinear control algorithms. Fortunately, the theory of fractional calculus can help build accurate mathematical models of hybrid energy storage systems. In order to obtain the high-quality nonlinear control strategy of this complex system, this paper, respectively, carried out fractional-order modeling and analysis on the three basic equivalent working states of the hybrid energy storage system of electric vehicles. Among them, the fractional-order average state space model is carried out for the equivalent Buck and Boost mode. Also, the steady-state analysis of the equivalent Dual-Boost mode is carried out by combining the fractional-order calculus theory with the equivalent small parameter variable method. Finally, the effectiveness and precision of the fractional-order model are proved by simulation and experiment. |
| format | Article |
| id | doaj-art-d16f68ce31624394880c0834bb0cbd71 |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-d16f68ce31624394880c0834bb0cbd712025-02-03T06:46:20ZengWileyComplexity1076-27871099-05262020-01-01202010.1155/2020/76438127643812Fractional-Order Modeling and Analysis of a Variable Structure Hybrid Energy Storage System for EVsJianlin Wang0Dan Xu1Jiahui Zhou2Jinlu Mao3School of Electrical Information Engineering, North Minzu University, Yinchuan, NingXia, ChinaSchool of Mechanical Engineering, Xi’an Jiaotong University, Xi’an, Shaanxi, ChinaSchool of Mechanical Engineering, Xi’an Jiaotong University, Xi’an, Shaanxi, ChinaSchool of Mechanical Engineering, Xi’an Jiaotong University, Xi’an, Shaanxi, ChinaHybrid energy storage system has been widely studied as an important technology for electric vehicles. Since the hybrid energy storage system is a nonlinear and complex system, the modeling of the system and the high-precision nonlinear control strategy are technical difficulties for research. The establishment of a high-precision mathematical model of the hybrid energy storage system is the basis for the study of high-quality nonlinear control algorithms. Fortunately, the theory of fractional calculus can help build accurate mathematical models of hybrid energy storage systems. In order to obtain the high-quality nonlinear control strategy of this complex system, this paper, respectively, carried out fractional-order modeling and analysis on the three basic equivalent working states of the hybrid energy storage system of electric vehicles. Among them, the fractional-order average state space model is carried out for the equivalent Buck and Boost mode. Also, the steady-state analysis of the equivalent Dual-Boost mode is carried out by combining the fractional-order calculus theory with the equivalent small parameter variable method. Finally, the effectiveness and precision of the fractional-order model are proved by simulation and experiment.http://dx.doi.org/10.1155/2020/7643812 |
| spellingShingle | Jianlin Wang Dan Xu Jiahui Zhou Jinlu Mao Fractional-Order Modeling and Analysis of a Variable Structure Hybrid Energy Storage System for EVs Complexity |
| title | Fractional-Order Modeling and Analysis of a Variable Structure Hybrid Energy Storage System for EVs |
| title_full | Fractional-Order Modeling and Analysis of a Variable Structure Hybrid Energy Storage System for EVs |
| title_fullStr | Fractional-Order Modeling and Analysis of a Variable Structure Hybrid Energy Storage System for EVs |
| title_full_unstemmed | Fractional-Order Modeling and Analysis of a Variable Structure Hybrid Energy Storage System for EVs |
| title_short | Fractional-Order Modeling and Analysis of a Variable Structure Hybrid Energy Storage System for EVs |
| title_sort | fractional order modeling and analysis of a variable structure hybrid energy storage system for evs |
| url | http://dx.doi.org/10.1155/2020/7643812 |
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