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Adaptive-Energy-Sharing-Based Energy Management Strategy of Hybrid Sources in Electric Vehicles

Author

Listed:
  • Vishnu P. Sidharthan

    (Department of Electrical and Electronics Engineering, National Institute of Technology, Surathkal, Mangaluru 575025, Karnataka, India)

  • Yashwant Kashyap

    (Department of Electrical and Electronics Engineering, National Institute of Technology, Surathkal, Mangaluru 575025, Karnataka, India)

  • Panagiotis Kosmopoulos

    (Institute for Environmental Research and Sustainable Development, National Observatory of Athens (IERSD/NOA), 15236 Athens, Greece)

Abstract

The energy utilization of the transportation industry is increasing tremendously. The battery is one of the primary energy sources for a green and clean mode of transportation, but variations in driving profiles (NYCC, Artemis Urban, WLTP class-1) and higher C-rates affect the battery performance and lifespan of battery electric vehicles (BEVs). Hence, as a singular power source, batteries have difficulty in tackling these issues in BEVs, highlighting the significance of hybrid-source electric vehicles (HSEVs). The supercapacitor (SC) and photovoltaic panels (PVs) are the auxiliary power sources coupled with the battery in the proposed hybrid electric three-wheeler (3W). However, energy management strategies (EMS) are critical to ensure optimal and safe power allocation in HSEVs. A novel adaptive Intelligent Hybrid Source Energy Management Strategy (IHSEMS) is proposed to perform energy management in hybrid sources. The IHSEMS optimizes the power sources using an absolute energy-sharing algorithm to meet the required motor power demand using the fuzzy logic controller. Techno-economic assessment wass conducted to analyze the effectiveness of the IHSEMS. Based on the comprehensive discussion, the proposed strategy reduces peak battery power by 50.20% compared to BEVs. It also reduces the battery capacity loss by 48.1%, 44%, and 24%, and reduces total operation cost by 60%, 43.9%, and 23.68% compared with standard BEVs, state machine control (SMC), and frequency decoupling strategy (FDS), respectively.

Suggested Citation

  • Vishnu P. Sidharthan & Yashwant Kashyap & Panagiotis Kosmopoulos, 2023. "Adaptive-Energy-Sharing-Based Energy Management Strategy of Hybrid Sources in Electric Vehicles," Energies, MDPI, vol. 16(3), pages 1-26, January.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:3:p:1214-:d:1044164
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    References listed on IDEAS

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    Cited by:

    1. Pavlos Papageorgiou & Konstantinos Oureilidis & Anna Tsakiri & Georgios Christoforidis, 2023. "A Modified Decentralized Droop Control Method to Eliminate Battery Short-Term Operation in a Hybrid Supercapacitor/Battery Energy Storage System," Energies, MDPI, vol. 16(6), pages 1-21, March.
    2. Nicola Campagna & Vincenzo Castiglia & Francesco Gennaro & Angelo Alberto Messina & Rosario Miceli, 2024. "Fuel Cell-Based Inductive Power Transfer System for Supercapacitor Constant Current Charging," Energies, MDPI, vol. 17(14), pages 1-22, July.

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