| ADAPTIVE ENERGY MANAGEMENT STRATEGY OF FUEL CELL ELECTRIC VEHICLE
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| Yan Sun 1, Changgao Xia 1, Bifeng Yin 1, Yingxiao Yu 1, Jiangyi Han 1, Haiyu Gao 2 |
1School of Automotive and Traffic Engineering, Jiangsu University
2Fuel Cell Vehicle Technology Research Center, D. R. Power Technology Co., Ltd. |
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| ABSTRACT |
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The energy management strategy (EMS) can efficiently split the power among different sources for a fuel cell
electric vehicle (FCEV). This paper puts forward how to cooperate with a proton exchange membrane fuel cell as the primary
energy source, and a ultracapacitor as the auxiliary energy storage. Firstly, the test bench of fuel cell is built and the
characteristic of fuel cell is tested. A model of vehicle is built in AMESim software based on the real parameters of vehicle
especially the characteristic of fuel cell. Secondly, the traditional power following strategy is introduced and an optimal
energy management strategy is proposed. The demand power is decomposed by quadratic utility function (QUF) and
Karush-Kuhn-Tucker (KKT) condition. In order to balance the vehicle economy and durability of fuel cell, the
multi-objective artificial bee colony algorithm (MOABC) and pareto solution set are used to solve the optimal balance
coefficient in the algorithm. The simulation results show that compared with the traditional strategy under one WLTP driving
cycle, the novel strategy can reduce the fuel cell degradation by 25.08 %, and the equivalent hydrogen consumption can be
also reduced. |
| Key Words:
Energy management strategy, KKT condition, Quadratic utility function, Durability of fuel cell
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Corresponding Author.
Yingxiao Yu , Email. 
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