Fractional-Order Modeling and Parameter Identification for Ultracapacitors with a New Hybrid SOA Method
This paper deals with an ultracapacitor (UC) model and its identification procedure. To take UC’s fractional characteristic into account, two constant phase elements (CPEs) are used to construct a model structure according to impedance spectrum analysis. The different behaviors of UC such...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2019-11-01
|
| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/12/22/4251 |
| _version_ | 1817995996869689344 |
|---|---|
| author | Jianhua Guo Weilun Liu Liang Chu Jingyuan Zhao |
| author_facet | Jianhua Guo Weilun Liu Liang Chu Jingyuan Zhao |
| author_sort | Jianhua Guo |
| collection | DOAJ |
| description | This paper deals with an ultracapacitor (UC) model and its identification procedure. To take UC’s fractional characteristic into account, two constant phase elements (CPEs) are used to construct a model structure according to impedance spectrum analysis. The different behaviors of UC such as capacitance, resistance, and charge distribution dynamics are simulated by the corresponding part in the model. The resistance under different voltages is calculated through the voltage rebound method to explore its non-linear characteristics and create a look-up table. A nonlinear fractional model around an operation voltage is then deduced by applying the resistance table. This time identification is carried by a proposed hybrid optimization algorithm: Nelder-Mead seeker algorithm (NMSA), which embeds the Nelder−Mead Simplex (NMS) method into the seeker optimization algorithm (SOA). Its time behavior has been compared with the linear fractional model for charging and discharging current profiles at different levels. |
| first_indexed | 2024-04-14T02:15:27Z |
| format | Article |
| id | doaj.art-928539815e54478b87205b16f458936b |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-14T02:15:27Z |
| publishDate | 2019-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-928539815e54478b87205b16f458936b2022-12-22T02:18:12ZengMDPI AGEnergies1996-10732019-11-011222425110.3390/en12224251en12224251Fractional-Order Modeling and Parameter Identification for Ultracapacitors with a New Hybrid SOA MethodJianhua Guo0Weilun Liu1Liang Chu2Jingyuan Zhao3State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, ChinaState Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, ChinaState Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, ChinaAuto Engineering Research Institute, BYD Auto Co., Ltd; Shenzhen 518118, ChinaThis paper deals with an ultracapacitor (UC) model and its identification procedure. To take UC’s fractional characteristic into account, two constant phase elements (CPEs) are used to construct a model structure according to impedance spectrum analysis. The different behaviors of UC such as capacitance, resistance, and charge distribution dynamics are simulated by the corresponding part in the model. The resistance under different voltages is calculated through the voltage rebound method to explore its non-linear characteristics and create a look-up table. A nonlinear fractional model around an operation voltage is then deduced by applying the resistance table. This time identification is carried by a proposed hybrid optimization algorithm: Nelder-Mead seeker algorithm (NMSA), which embeds the Nelder−Mead Simplex (NMS) method into the seeker optimization algorithm (SOA). Its time behavior has been compared with the linear fractional model for charging and discharging current profiles at different levels.https://www.mdpi.com/1996-1073/12/22/4251hybrid optimizationultracapacitorfractional-order modeltime-domain analysis |
| spellingShingle | Jianhua Guo Weilun Liu Liang Chu Jingyuan Zhao Fractional-Order Modeling and Parameter Identification for Ultracapacitors with a New Hybrid SOA Method Energies hybrid optimization ultracapacitor fractional-order model time-domain analysis |
| title | Fractional-Order Modeling and Parameter Identification for Ultracapacitors with a New Hybrid SOA Method |
| title_full | Fractional-Order Modeling and Parameter Identification for Ultracapacitors with a New Hybrid SOA Method |
| title_fullStr | Fractional-Order Modeling and Parameter Identification for Ultracapacitors with a New Hybrid SOA Method |
| title_full_unstemmed | Fractional-Order Modeling and Parameter Identification for Ultracapacitors with a New Hybrid SOA Method |
| title_short | Fractional-Order Modeling and Parameter Identification for Ultracapacitors with a New Hybrid SOA Method |
| title_sort | fractional order modeling and parameter identification for ultracapacitors with a new hybrid soa method |
| topic | hybrid optimization ultracapacitor fractional-order model time-domain analysis |
| url | https://www.mdpi.com/1996-1073/12/22/4251 |
| work_keys_str_mv | AT jianhuaguo fractionalordermodelingandparameteridentificationforultracapacitorswithanewhybridsoamethod AT weilunliu fractionalordermodelingandparameteridentificationforultracapacitorswithanewhybridsoamethod AT liangchu fractionalordermodelingandparameteridentificationforultracapacitorswithanewhybridsoamethod AT jingyuanzhao fractionalordermodelingandparameteridentificationforultracapacitorswithanewhybridsoamethod |