The Driving Control Strategy of Pure Electric Vehicle Based on Fuzzy Self-adaptive PID
Shi-wei Xu, Jing Lu, Xuan Zhao
Available Online March 2016.
- 10.2991/icmmct-16.2016.187How to use a DOI?
- Automotive engineering, drive control, fuzzy self-adaptive PID, double closed loop control.
For the problem of pure electric vehicle drive control, a speed-current double closed loop control strategywasproposed by using the fuzzy self-adaptive PID theory, and thevehicle simulation model was established in Matlab/Simscape.The performance of the drive control strategy was verified bystarting operation condition and NEDC cycle in the simulation model. Simulation results show that the pure electric vehicle drive control strategy based on the fuzzy adaptive PID can execute the driving instructionsquickly and accurately, and the vehiclecan operate stably without static speed error, so the control strategy can improve the vehicle driving performanceeffectively.
- © 2016, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Shi-wei Xu AU - Jing Lu AU - Xuan Zhao PY - 2016/03 DA - 2016/03 TI - The Driving Control Strategy of Pure Electric Vehicle Based on Fuzzy Self-adaptive PID BT - Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology PB - Atlantis Press SP - 940 EP - 946 SN - 2352-5401 UR - https://doi.org/10.2991/icmmct-16.2016.187 DO - 10.2991/icmmct-16.2016.187 ID - Xu2016/03 ER -