Optimizing energy harvesting: a gain-scheduled braking system for electric vehicles with enhanced state of charge and efficiency

Recycling braking energy is crucial in increasing the overall energy efficiency of an electric vehicle. Regenerative braking system (RBS) technology makes a significant contribution, but it is quite challenging to design an optimal braking force distribution while ensuring vehicle stability and batt...

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Main Authors: Ghazali, Anith Khairunnisa, Hassan, Mohd Khair, Mohd Radzi, Mohd Amran, As’arry, Azizan
Format: Article
Published: Multidisciplinary Digital Publishing Institute 2023
Online Access:http://psasir.upm.edu.my/id/eprint/109392/
https://www.mdpi.com/1996-1073/16/12/4561
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spelling my.upm.eprints.1093922024-08-05T02:38:24Z http://psasir.upm.edu.my/id/eprint/109392/ Optimizing energy harvesting: a gain-scheduled braking system for electric vehicles with enhanced state of charge and efficiency Ghazali, Anith Khairunnisa Hassan, Mohd Khair Mohd Radzi, Mohd Amran As’arry, Azizan Recycling braking energy is crucial in increasing the overall energy efficiency of an electric vehicle. Regenerative braking system (RBS) technology makes a significant contribution, but it is quite challenging to design an optimal braking force distribution while ensuring vehicle stability and battery health. In this study, a parallel-distribution braking system that transfers as much energy as possible from the wheel to the battery was investigated. An integrated braking force distribution with gain-scheduling super-twisting sliding mode control (GSTSMC) was proposed to capture the maximum kinetic energy during braking and convert it into electrical energy. Parallel friction and regenerative braking ratios dominate the design of the braking component, which is based on the speed of the vehicle. A GSTSMC was implemented and incorporated into the vehicle dynamics model developed in the ADVISOR environment. Simulation was utilized to rigorously validate the efficacy of the proposed control strategy, ensuring its potential to perform optimally in practical applications. Consideration was given to the vehicle’s slip ratio on dry asphalt to maintain vehicle stability. Simulation results were used to validate the performance of the proposed design in terms of the state of charge (SOC), transmitted energy, motor efficiency, battery temperature, and slip ratio. Based on the results, the proposed control strategy is capable of increasing the SOC value to 54%, overall efficiency to 25.98%, energy transmitted to 14.27%, and energy loss to 87 kJ while considering the vehicle’s speed-tracking ability, battery temperature, and stability. Multidisciplinary Digital Publishing Institute 2023-06-07 Article PeerReviewed Ghazali, Anith Khairunnisa and Hassan, Mohd Khair and Mohd Radzi, Mohd Amran and As’arry, Azizan (2023) Optimizing energy harvesting: a gain-scheduled braking system for electric vehicles with enhanced state of charge and efficiency. Energies, 16 (12). art. no. 4561. pp. 1-19. ISSN 1996-1073 https://www.mdpi.com/1996-1073/16/12/4561 10.3390/en16124561
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
description Recycling braking energy is crucial in increasing the overall energy efficiency of an electric vehicle. Regenerative braking system (RBS) technology makes a significant contribution, but it is quite challenging to design an optimal braking force distribution while ensuring vehicle stability and battery health. In this study, a parallel-distribution braking system that transfers as much energy as possible from the wheel to the battery was investigated. An integrated braking force distribution with gain-scheduling super-twisting sliding mode control (GSTSMC) was proposed to capture the maximum kinetic energy during braking and convert it into electrical energy. Parallel friction and regenerative braking ratios dominate the design of the braking component, which is based on the speed of the vehicle. A GSTSMC was implemented and incorporated into the vehicle dynamics model developed in the ADVISOR environment. Simulation was utilized to rigorously validate the efficacy of the proposed control strategy, ensuring its potential to perform optimally in practical applications. Consideration was given to the vehicle’s slip ratio on dry asphalt to maintain vehicle stability. Simulation results were used to validate the performance of the proposed design in terms of the state of charge (SOC), transmitted energy, motor efficiency, battery temperature, and slip ratio. Based on the results, the proposed control strategy is capable of increasing the SOC value to 54%, overall efficiency to 25.98%, energy transmitted to 14.27%, and energy loss to 87 kJ while considering the vehicle’s speed-tracking ability, battery temperature, and stability.
format Article
author Ghazali, Anith Khairunnisa
Hassan, Mohd Khair
Mohd Radzi, Mohd Amran
As’arry, Azizan
spellingShingle Ghazali, Anith Khairunnisa
Hassan, Mohd Khair
Mohd Radzi, Mohd Amran
As’arry, Azizan
Optimizing energy harvesting: a gain-scheduled braking system for electric vehicles with enhanced state of charge and efficiency
author_facet Ghazali, Anith Khairunnisa
Hassan, Mohd Khair
Mohd Radzi, Mohd Amran
As’arry, Azizan
author_sort Ghazali, Anith Khairunnisa
title Optimizing energy harvesting: a gain-scheduled braking system for electric vehicles with enhanced state of charge and efficiency
title_short Optimizing energy harvesting: a gain-scheduled braking system for electric vehicles with enhanced state of charge and efficiency
title_full Optimizing energy harvesting: a gain-scheduled braking system for electric vehicles with enhanced state of charge and efficiency
title_fullStr Optimizing energy harvesting: a gain-scheduled braking system for electric vehicles with enhanced state of charge and efficiency
title_full_unstemmed Optimizing energy harvesting: a gain-scheduled braking system for electric vehicles with enhanced state of charge and efficiency
title_sort optimizing energy harvesting: a gain-scheduled braking system for electric vehicles with enhanced state of charge and efficiency
publisher Multidisciplinary Digital Publishing Institute
publishDate 2023
url http://psasir.upm.edu.my/id/eprint/109392/
https://www.mdpi.com/1996-1073/16/12/4561
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score 13.19449