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1 April 2024 A parameter matching and performance evaluation method for vehicle power system
Yuan Guan, Yao Li, Yue Deng, Yongqing Chen, Dong Huang, Hang Wu
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Proceedings Volume 13082, Fourth International Conference on Mechanical Engineering, Intelligent Manufacturing, and Automation Technology (MEMAT 2023); 130821Y (2024) https://doi.org/10.1117/12.3026143
Event: 2023 4th International Conference on Mechanical Engineering, Intelligent Manufacturing and Automation Technology (MEMAT 2023), 2023, Guilin, China
Abstract
The system parameter-matching accuracy directly affects the vehicle's comprehensive performance. Achieving the optimal comprehensive performance of the vehicle is a complex problem to be solved in the development of current new energy power systems. This paper proposes a practical parameter-matching method for vehicle power systems based on fuzzy evaluation. The interval ranges of related design variables are calculated. The simulation model of the new energy vehicle is built to obtain dynamic performance and energy economy. The multi-dimensional evaluation indexes and thresholds of dynamic performance and energy economy are determined. The comprehensive performance evaluation method based on compound weight and fuzzy mathematics is adopted to quantitatively evaluate the vehicle's comprehensive performance. Following this, the optimal parameter matching of new-energy vehicle power systems is realized. The transmission ratio matching of the distributed electric drive system is performed following the proposed method, and the practicability and accuracy of the parameter-matching method are verified.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Yuan Guan, Yao Li, Yue Deng, Yongqing Chen, Dong Huang, and Hang Wu "A parameter matching and performance evaluation method for vehicle power system", Proc. SPIE 13082, Fourth International Conference on Mechanical Engineering, Intelligent Manufacturing, and Automation Technology (MEMAT 2023), 130821Y (1 April 2024); https://doi.org/10.1117/12.3026143
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KEYWORDS
Matrices
Design
Control systems
Fuzzy logic
Power consumption
Performance modeling
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