Optimization of Two-speed Transmission Ratio in Common Working Condition of Electric Vehicle based on PSO
Aiming at the deficiency of optimizing the speed ratio of multi-gear transmission of electric vehicle only under a single specific working condition, which is much different from the actual working condition, a speed ratio optimization method based on particle swarm optimization (PSO) algorithm is p...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Journal of Mechanical Transmission
2019-08-01
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| Series: | Jixie chuandong |
| Subjects: | |
| Online Access: | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2019.08.013 |
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| Summary: | Aiming at the deficiency of optimizing the speed ratio of multi-gear transmission of electric vehicle only under a single specific working condition, which is much different from the actual working condition, a speed ratio optimization method based on particle swarm optimization (PSO) algorithm is proposed to optimize the efficiency of the common operating area of the transmission system, that is, to find the common operating area of the electric vehicle through the superposition of various specific working conditions, and to make the high efficient area of the transmission system of the electric vehicle fall into the common operating area as possible as possible by adjusting the speed ratio so as to make the average operating efficiency of transmission system is the highest. Taking the power performance of the vehicle as the constraint condition, taking the average efficiency of the driving system as the economic objective, the acceleration time as the dynamic objective, the fitness function is constructed. The speed ratio optimization is realized by using Matlab software,and the vehicle energy consumption is verified by using AMESim software. After optimization, the dynamic performance of the whole vehicle is improved, indicating that the method used in this paper is effective. |
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| ISSN: | 1004-2539 |