Control Strategy of Miniature Pure Electric Truck Based on Driver's Intention Recognition

Journal Title: 河南科技大学学报(自然科学版) - Year 2018, Vol 39, Issue 5

Abstract

In order to improve the energy efficiency of miniature pure electric truck, a vehicle control strategy based on driver's intention recognition was proposed.Based on Stateflow finite state machine, a primary driver recognition module was built to judge the running status of the vehicle.The driver's intention identification parameters were determined, the fuzzy controller was designed and the vehicle control strategy under different conditions was set up.Based on AVL Cruise software, a vehicle dynamic system simulation model was established and simulated.The results show that the remaining driving range of the vehicle under no-load, half-load and full load conditions respectively increases by 6.7%, 7.2% and 7.4%.The energy utilization rate is higher.

Authors and Affiliations

Yaqiao ZHANG, Guangwei CHENG, Zhili ZHOU, Liyou XU

Keywords

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  • EP ID EP468427
  • DOI -
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How To Cite

Yaqiao ZHANG, Guangwei CHENG, Zhili ZHOU, Liyou XU (2018). Control Strategy of Miniature Pure Electric Truck Based on Driver's Intention Recognition. 河南科技大学学报(自然科学版), 39(5), -. https://europub.co.uk/articles/-A-468427