A Unified Switched Nonlinear Dynamic Model of an Electric Vehicle for Performance Evaluation
The advanced modeling and estimation of overall system dynamics play a vital role in electric vehicles (EVs), as the selection of components in the powertrain and prediction of performance are the key market qualifiers. The state-space averaged model and small-signal transfer function model are usef...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-07-01
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| Series: | Electronics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-9292/12/14/3173 |
| _version_ | 1797589563942633472 |
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| author | Dibyendu Khan Kuntal Mandal Anjan Kumar Ray Abdelali El Aroudi |
| author_facet | Dibyendu Khan Kuntal Mandal Anjan Kumar Ray Abdelali El Aroudi |
| author_sort | Dibyendu Khan |
| collection | DOAJ |
| description | The advanced modeling and estimation of overall system dynamics play a vital role in electric vehicles (EVs), as the selection of components in the powertrain and prediction of performance are the key market qualifiers. The state-space averaged model and small-signal transfer function model are useful for assessing long-term behavior in system-level analysis and for designing the controller parameters, respectively. Both models take less computation time but ignore the high-frequency switching dynamics. Therefore, these two models could be impractical for the development and testing of EV prototypes. On the other hand, the multi-domain model in available simulation tools gives in-depth information about the short-term behavior and loss analysis of power electronic devices in each subsystem, considering the switching dynamics in a long computation time. In this paper, a general mathematical framework for the dynamical analysis of complete EVs is presented using a unified, switched nonlinear model. This equation-based model runs faster than the available module-based simulation tools. Two other models, namely the time domain state-space averaged model and frequency domain small-signal transfer function model, are also developed from the switched nonlinear model for the analysis with less computation time. The design and performance of an EV with two different motors and its controllers are evaluated using the general mathematical framework. |
| first_indexed | 2024-03-11T01:08:22Z |
| format | Article |
| id | doaj.art-ffd7abff590e4e68845568f538b3f08a |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-11T01:08:22Z |
| publishDate | 2023-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-ffd7abff590e4e68845568f538b3f08a2023-11-18T19:06:55ZengMDPI AGElectronics2079-92922023-07-011214317310.3390/electronics12143173A Unified Switched Nonlinear Dynamic Model of an Electric Vehicle for Performance EvaluationDibyendu Khan0Kuntal Mandal1Anjan Kumar Ray2Abdelali El Aroudi3Department of Electrical and Computer Engineering, University of Nebraska Lincoln, Lincoln, NE 68588, USADepartment of Electronics, Electrical Engineering and Automatic Control, Universitat Rovira i Virgili, 43007 Tarragona, SpainDepartment of Electrical and Electronics Engineering, National Institute of Technology Sikkim, Ravangla 737139, IndiaDepartment of Electronics, Electrical Engineering and Automatic Control, Universitat Rovira i Virgili, 43007 Tarragona, SpainThe advanced modeling and estimation of overall system dynamics play a vital role in electric vehicles (EVs), as the selection of components in the powertrain and prediction of performance are the key market qualifiers. The state-space averaged model and small-signal transfer function model are useful for assessing long-term behavior in system-level analysis and for designing the controller parameters, respectively. Both models take less computation time but ignore the high-frequency switching dynamics. Therefore, these two models could be impractical for the development and testing of EV prototypes. On the other hand, the multi-domain model in available simulation tools gives in-depth information about the short-term behavior and loss analysis of power electronic devices in each subsystem, considering the switching dynamics in a long computation time. In this paper, a general mathematical framework for the dynamical analysis of complete EVs is presented using a unified, switched nonlinear model. This equation-based model runs faster than the available module-based simulation tools. Two other models, namely the time domain state-space averaged model and frequency domain small-signal transfer function model, are also developed from the switched nonlinear model for the analysis with less computation time. The design and performance of an EV with two different motors and its controllers are evaluated using the general mathematical framework.https://www.mdpi.com/2079-9292/12/14/3173electric vehicleswitching systemsnonlinear modelingstate-space averaged modelsmall-signal modeldrive cycle |
| spellingShingle | Dibyendu Khan Kuntal Mandal Anjan Kumar Ray Abdelali El Aroudi A Unified Switched Nonlinear Dynamic Model of an Electric Vehicle for Performance Evaluation Electronics electric vehicle switching systems nonlinear modeling state-space averaged model small-signal model drive cycle |
| title | A Unified Switched Nonlinear Dynamic Model of an Electric Vehicle for Performance Evaluation |
| title_full | A Unified Switched Nonlinear Dynamic Model of an Electric Vehicle for Performance Evaluation |
| title_fullStr | A Unified Switched Nonlinear Dynamic Model of an Electric Vehicle for Performance Evaluation |
| title_full_unstemmed | A Unified Switched Nonlinear Dynamic Model of an Electric Vehicle for Performance Evaluation |
| title_short | A Unified Switched Nonlinear Dynamic Model of an Electric Vehicle for Performance Evaluation |
| title_sort | unified switched nonlinear dynamic model of an electric vehicle for performance evaluation |
| topic | electric vehicle switching systems nonlinear modeling state-space averaged model small-signal model drive cycle |
| url | https://www.mdpi.com/2079-9292/12/14/3173 |
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