LAPSE:2023.9338
Published Article

LAPSE:2023.9338
Parameter Optimization Method for Power System of Medium-Sized Bus Based on Orthogonal Test
February 27, 2023
Abstract
Accurate and reasonable matching design is a current and difficult point in electric vehicle research. This paper presents a parameter optimization method for the power system of a medium-sized bus based on the combination of the orthogonal test and the secondary development of ADVISOR software. According to vehicle theoretical knowledge and the requirements of the vehicle power performance index, the parameters of the vehicle power system were matched and designed. With the help of the secondary development of MATLAB/Simulink and ADVISOR software, the modeling of the key parts of the vehicle was carried out. Considering the influence of the number of battery packs, motor power model, wheel rolling resistance coefficient, and wind resistance coefficient on the design of the power system, an L9 (34)-type orthogonal table was selected to design the orthogonal test. The dynamic performance and driving range of the whole vehicle were simulated using different design schemes, and the accuracy of the simulation results was verified by comparing and analyzing the simulation images. The results demonstrated that in the environment where the wind resistance coefficient was 0.6 and the wheel rolling resistance coefficient was 0.009, with 240 sets of lithium batteries (battery energy, 264 kW h; battery capacity, 100 Ah) as the power source, the pure electric medium-sized bus equipped with the PM165 permanent magnet motor (rated power, 60 kW; rated torque, 825 N m) could obtain the best power performance and economic performance. The research content of this paper provides a certain reference for the design of shuttle buses for Nantong’s bus system, effectively reduces the testing costs of the vehicle development process, and provides a new idea for the power system design of pure electric buses.
Accurate and reasonable matching design is a current and difficult point in electric vehicle research. This paper presents a parameter optimization method for the power system of a medium-sized bus based on the combination of the orthogonal test and the secondary development of ADVISOR software. According to vehicle theoretical knowledge and the requirements of the vehicle power performance index, the parameters of the vehicle power system were matched and designed. With the help of the secondary development of MATLAB/Simulink and ADVISOR software, the modeling of the key parts of the vehicle was carried out. Considering the influence of the number of battery packs, motor power model, wheel rolling resistance coefficient, and wind resistance coefficient on the design of the power system, an L9 (34)-type orthogonal table was selected to design the orthogonal test. The dynamic performance and driving range of the whole vehicle were simulated using different design schemes, and the accuracy of the simulation results was verified by comparing and analyzing the simulation images. The results demonstrated that in the environment where the wind resistance coefficient was 0.6 and the wheel rolling resistance coefficient was 0.009, with 240 sets of lithium batteries (battery energy, 264 kW h; battery capacity, 100 Ah) as the power source, the pure electric medium-sized bus equipped with the PM165 permanent magnet motor (rated power, 60 kW; rated torque, 825 N m) could obtain the best power performance and economic performance. The research content of this paper provides a certain reference for the design of shuttle buses for Nantong’s bus system, effectively reduces the testing costs of the vehicle development process, and provides a new idea for the power system design of pure electric buses.
Record ID
Keywords
dynamic performance, economy, orthogonal experiment, power system, pure electric bus
Subject
Suggested Citation
Wang X, Ye P, Zhang Y, Ni H, Deng Y, Lv S, Yuan Y, Zhu Y. Parameter Optimization Method for Power System of Medium-Sized Bus Based on Orthogonal Test. (2023). LAPSE:2023.9338
Author Affiliations
Wang X: School of Mechanical Engineering, Nantong University, Nantong 226019, China; School of Rail Transportation, Soochow University, Suzhou 215131, China [ORCID]
Ye P: School of Mechanical Engineering, Nantong University, Nantong 226019, China
Zhang Y: School of Mechanical Engineering, Nantong University, Nantong 226019, China
Ni H: School of Mechanical Engineering, Nantong University, Nantong 226019, China
Deng Y: School of Rail Transportation, Soochow University, Suzhou 215131, China
Lv S: School of Mechanical Engineering, Nantong University, Nantong 226019, China
Yuan Y: School of Rail Transportation, Soochow University, Suzhou 215131, China
Zhu Y: School of Mechanical Engineering, Nantong University, Nantong 226019, China
Ye P: School of Mechanical Engineering, Nantong University, Nantong 226019, China
Zhang Y: School of Mechanical Engineering, Nantong University, Nantong 226019, China
Ni H: School of Mechanical Engineering, Nantong University, Nantong 226019, China
Deng Y: School of Rail Transportation, Soochow University, Suzhou 215131, China
Lv S: School of Mechanical Engineering, Nantong University, Nantong 226019, China
Yuan Y: School of Rail Transportation, Soochow University, Suzhou 215131, China
Zhu Y: School of Mechanical Engineering, Nantong University, Nantong 226019, China
Journal Name
Energies
Volume
15
Issue
19
First Page
7243
Year
2022
Publication Date
2022-10-02
ISSN
1996-1073
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PII: en15197243, Publication Type: Journal Article
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LAPSE:2023.9338
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https://doi.org/10.3390/en15197243
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Feb 27, 2023
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