Research on On-line Distribution Control Method of Driving Torque of Dual Hub Motor
Aiming at the problem of high efficiency and low energy consumption of vehicle driven by dual hub motor ，an optimization method considering the online real-time feedback of driving distance of dual hub motor was proposed. Firstly，the hub motor energy consumption model，dynamics...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Harbin University of Science and Technology Publications
2024-02-01
|
| Series: | Journal of Harbin University of Science and Technology |
| Subjects: | |
| Online Access: | https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=2290 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | Aiming at the problem of high efficiency and low energy consumption of vehicle driven by dual hub motor ，an optimization method considering the online real-time feedback of driving distance of dual hub motor was proposed. Firstly，the hub motor energy consumption model，dynamics model and torque distribution control model are established. Secondly，an optimization model based on QPSO-LSTM algorithm with variable sequence was established by taking the driving efficiency of wheel motor as the objective and taking the torque and speed limit of wheel motor as inequality constraints. Finally，the LabVIEW software experimental platform was built to make the hub motor output stably under the constraints of torque peak value of 716n. m and speed peak value of 1000r / min. Experimental results show that the software platform can monitor and adjust the driving vehicle system data in real time. In FTP-75 condition，the QPSO-LSTM algorithm with the addition of heterogeneous sequences reduces the single-cycle energy consumption by 2. 98% and 4. 64% ，respectively，compared with the quantum genetic algorithm and the particle swarm algorithm in the FTP-75 operating condition，and by 3. 06% and 4. 81% ，respectively，in the CLTC-P operating condition. |
|---|---|
| ISSN: | 1007-2683 |