LAPSE:2023.20563
Published Article
LAPSE:2023.20563
Evaluation of a Three-Parameter Gearshift Strategy for a Two-Speed Transmission System in Electric Vehicles
Md Ragib Ahssan, Mehran Ektesabi, Saman Gorji
March 20, 2023
Abstract
This paper proposes a three-parameter gearshift scheduling strategy that has been implemented on both large and small electric vehicles with two-speed transmission systems. The new strategy evaluates vehicle performance under varying driving conditions on flat and hilly roads by assessing the vehicle speed, acceleration, and road grade. A heuristic approach is used to develop two gearshift schedules for vehicle acceleration and road grade, and gradient descent and pattern search methods are applied to optimize the gear ratios and primary gearshift schedules. The results show that the proposed gearshift strategy saves 16.5% of energy on hilly roads compared to conventional approaches. Optimal gearshift schedules for acceleration provide more room for second gear operation, while optimized gearshift schedules for the road grade increase the buffer zone for larger vehicles and allow more space for the second gear operating area. The experimental results validate the proposed approach’s performance for both large and small electric vehicles.
Keywords
electric vehicle, gear ratio optimization, gearshift schedule, multi-speed transmission, vehicle performances
Suggested Citation
Ahssan MR, Ektesabi M, Gorji S. Evaluation of a Three-Parameter Gearshift Strategy for a Two-Speed Transmission System in Electric Vehicles. (2023). LAPSE:2023.20563
Author Affiliations
Ahssan MR: Department of Mechanical Engineering and Product Design Engineering, Swinburne University of Technology, Hawthorn, VIC 3122, Australia [ORCID]
Ektesabi M: School of Software and Electrical Engineering, Swinburne University of Technology, Hawthorn, VIC 3122, Australia
Gorji S: School of Engineering, Deakin University, Waurn Ponds, Geelong, VIC 3216, Australia [ORCID]
Journal Name
Energies
Volume
16
Issue
5
First Page
2496
Year
2023
Publication Date
2023-03-06
ISSN
1996-1073
Version Comments
Original Submission
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PII: en16052496, Publication Type: Journal Article
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LAPSE:2023.20563
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https://doi.org/10.3390/en16052496
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Mar 20, 2023
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CC BY 4.0
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