Adaptive-Energy-Sharing-Based Energy Management Strategy of Hybrid Sources in Electric Vehicles
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 an...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-01-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/16/3/1214 |
| _version_ | 1797624665730973696 |
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| author | Vishnu P. Sidharthan Yashwant Kashyap Panagiotis Kosmopoulos |
| author_facet | Vishnu P. Sidharthan Yashwant Kashyap Panagiotis Kosmopoulos |
| author_sort | Vishnu P. Sidharthan |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-11T09:45:48Z |
| format | Article |
| id | doaj.art-2b45163b3551434c899f5a8cc5ad7abc |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-11T09:45:48Z |
| publishDate | 2023-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-2b45163b3551434c899f5a8cc5ad7abc2023-11-16T16:34:18ZengMDPI AGEnergies1996-10732023-01-01163121410.3390/en16031214Adaptive-Energy-Sharing-Based Energy Management Strategy of Hybrid Sources in Electric VehiclesVishnu P. Sidharthan0Yashwant Kashyap1Panagiotis Kosmopoulos2Department of Electrical and Electronics Engineering, National Institute of Technology, Surathkal, Mangaluru 575025, Karnataka, IndiaDepartment of Electrical and Electronics Engineering, National Institute of Technology, Surathkal, Mangaluru 575025, Karnataka, IndiaInstitute for Environmental Research and Sustainable Development, National Observatory of Athens (IERSD/NOA), 15236 Athens, GreeceThe 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.https://www.mdpi.com/1996-1073/16/3/1214absolute energy sharingelectric vehiclehybrid source energy management strategysupercapacitortechno-economic analysis |
| spellingShingle | Vishnu P. Sidharthan Yashwant Kashyap Panagiotis Kosmopoulos Adaptive-Energy-Sharing-Based Energy Management Strategy of Hybrid Sources in Electric Vehicles Energies absolute energy sharing electric vehicle hybrid source energy management strategy supercapacitor techno-economic analysis |
| title | Adaptive-Energy-Sharing-Based Energy Management Strategy of Hybrid Sources in Electric Vehicles |
| title_full | Adaptive-Energy-Sharing-Based Energy Management Strategy of Hybrid Sources in Electric Vehicles |
| title_fullStr | Adaptive-Energy-Sharing-Based Energy Management Strategy of Hybrid Sources in Electric Vehicles |
| title_full_unstemmed | Adaptive-Energy-Sharing-Based Energy Management Strategy of Hybrid Sources in Electric Vehicles |
| title_short | Adaptive-Energy-Sharing-Based Energy Management Strategy of Hybrid Sources in Electric Vehicles |
| title_sort | adaptive energy sharing based energy management strategy of hybrid sources in electric vehicles |
| topic | absolute energy sharing electric vehicle hybrid source energy management strategy supercapacitor techno-economic analysis |
| url | https://www.mdpi.com/1996-1073/16/3/1214 |
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