Multi Objective Fuzzy Energy Management Strategy of Hybrid Electric Vehicles

Abstract

To address the shortcomings of the current lithium battery-supercapacitor composite energy electric vehicle in a single fuzzy control measure, a multi-fuzzy joint control energy management measure is put forward and designed. Combining with the actual parameters of the experimental rig, the whole system model is constructed in MATLAB context, and the fuzzy square wave regulation control strategy, the power distribution factor fuzzy control strategy and the improved fuzzy square wave regulation based joint control strategy are compared and analyzed by ECE and UDDS operating conditions, and finally the fuzzy square wave regulation based joint control strategy with the best effect is selected to be embedded in the experimental rig for verification. According to the experimental simulation outcomes, the control strategy herein can achieve smooth control of lithium battery charging and discharging current within 1C under different SOC in both test conditions, so it is profit to the safe operation of lithium battery pack and effectively reduce the driving cost of the whole vehicle control system.