In order to improve the economy of extended-range
electric vehicles and solve the problem that the basic equivalent consumption
minimization strategy(ECMS) could not achieve the optimal economy, an improved
ECMS energy management optimization strategy was proposed. The required power
of vehicle was used to characterize the current working condition, the
acceleration was used to characterize the change of required power at the next
moment, and the SOC feedback of power battery was used to judge the stored
energy of power battery. According to the three factors, the optimal equivalent
factor in the current vehicle state was determined, and the adaptive adjustment
of equivalent factor was realized by means of fuzzy controller. The control
strategy model was built by Matlab/Simulink and the AVL_Cruise software was cosimulated. The results showed that the equivalent fuel consumptions
per 100 km were 8.50 L and 8.07 L respectively under WLTC and CLTC working
conditions, which improved by 3% and 1.94% respectively, indicating that the
improved adaptive ECMS could effectively reduce fuel consumption.
CAO Longlong, ZHONG Yong, QIU Huangle, FAN Zhouhui, GAO Jianhang, LIU Chenglong
. Energy Management Strategy of Minimum Adaptive
Equivalent Fuel Consumption Based on Fuzzy Control[J]. Vehicle Engine, 2025
, 0(2)
: 89
.
DOI: 10.3969/j.issn.1001-2222.2025.02.013
