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Modeling and controller design of battery/sc electric vehicles for real-time energy management

Rezaei Larijani, M ; Sharif University of Technology | 2023

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  1. Type of Document: Article
  2. DOI: 10.1109/VTC2023-Spring57618.2023.10199413
  3. Publisher: Institute of Electrical and Electronics Engineers Inc , 2023
  4. Abstract:
  5. This paper deals with a straightforward procedure for modeling and controller design of an electric vehicle with a fully-active hybrid energy storage system comprising the battery and supercapacitor for real-time energy management. Firstly, the dynamic models of the energy storage systems, the average model of bi-directional dc-dc converters, the static model of the electric motor, and the vehicle dynamics are obtained. Then, a classical low-pass filter is employed as a supervisory control to define the reference signals of the low- level controllers, which aim to regulate the input currents of the bi-directional dc-dc converters. Besides, the dc-dc converters efficiency factor, depending on the converter power flow direction and operating point, is considered in the electric vehicle model. Next, the obtained model is validated using the FTP-75 drive cycle by comparing the results with an electric vehicle of the commercial CarSim software. Finally, the developed EV model is implemented in dSPACE using a recent WLTC drive cycle to verify its performance in a real-time digital simulator. The obtained results demonstrate the effectiveness of the proposed modeling approach for real-time energy management in battery/SC electric vehicles. © 2023 IEEE
  6. Keywords:
  7. Batteries ; Control systems ; Current control ; Dc-dc power converters ; Electric vehicles ; Energy management ; Low-pass filters ; Modeling ; Real-time systems ; Supercapacitors
  8. Source: IEEE Vehicular Technology Conference ; Volume 2023-June , 2023 ; 15502252 (ISSN); 979-835031114-3 (ISBN)
  9. URL: https://ieeexplore.ieee.org/document/10199413