Optimization of energy allocation in an integrated energy storage system for electric vehicles

Authors: Demenkov N.P., Xiaogang Wu Published: 12.10.2016
Published in issue: #5(110)/2016  
DOI: 10.18698/0236-3933-2016-5-36-50

Category: Informatics, Computer Engineering and Control | Chapter: System Analysis, Control, and Information Processing  
Keywords: semi-active composite energy storage system, power allocation, convex optimization, energy efficiency analysis, power battery, supercapacitor

Our work considers an electric bus with a semi-active compound storage system as the object. We propose convex optimization method in order to minimize energy consumption and power range of battery as a target function. Based on the traffic conditions of urban electric buses we conducted a comparative analysis of energy efficiency and power change of battery using proposed rule-based optimization method and power allocation method. Simulation results show that, in the city electric bus working conditions, under proposed convex optimization of power allocation method, battery and supercapacitor comprehensive energy efficiency were 93.46% and 98.81%, battery power range within 14.56 kW. With the rule-based power allocation method energy efficiency of battery increased by 0.74%, energy efficiency of supercapacitor increased by 0.26%, power range of battery decreased by 82.23%.


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