Keywords
driving intention recognition, adaptive adjustment, vehicle energy consumption, energy management
Abstract
Driving intention is an important factor affecting the energy distribution of hybrid energy vehicles. Considering that the low-frequency part of the demanded power has less impact, which can be borne by the battery first, and the high-frequency part has more impact, which can be borne by the supercapacitor first. A hybrid electric vehicle power distribution control method based on driving intention recognition is proposed, which increases the consideration of the "human" factor based on of only considering the "vehicle" factor in the traditional control strategy. Compared with the traditional control strategy, the battery's output current in the proposed strategy is smoother, the power fluctuation is reduced by 23.72%, and the output power fluctuation of the supercapacitor is enhanced. Under this strategy, the average energy consumption per unit mileage of the whole vehicle is 32.61 Wh/km. The simulation results show that the proposed strategy can make full use of the dynamic characteristics of the energy storage system and effectively prolong the battery life.
DOI
10.19781/j.issn.1673-9140.2022.04.018
First Page
161
Last Page
168
Recommended Citation
TANG, Qiang; TANG, Ci; ZENG, Yunlong; and WANG, Yong
(2022)
"Research on energy management strategyimprovement of dual source pure electric vehicle,"
Journal of Electric Power Science and Technology: Vol. 37:
Iss.
4, Article 18.
DOI: 10.19781/j.issn.1673-9140.2022.04.018
Available at:
https://jepst.researchcommons.org/journal/vol37/iss4/18