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Updated: Sep 23, 2025

A Guide to Concentration Alternating Frequency Response Analysis of Fuel Cells
Published on: December 11, 2019
Multi-objective energy management strategy for fuel cell hybrid electric vehicle based on stochastic model predictive
Yan Ma1, Cheng Li2, Siyu Wang2
1State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun, China; Department of Control Science and Engineering, Jilin University, Renmin Street 5988, Changchun 130012, China.
Abstract:
The fuel cell hybrid electric vehicle (FCHEV) has earned great interest among the automotive industry in recent years. However, the power allocation strategy between proton exchange membrane fuel cell (PEMFC) and lithium-ion battery remains a technological challenge. To conquer this problem, a multi-objective predictive energy management strategy (EMS) based on model predictive control (MPC) is proposed in this paper, combined with velocity forecast and driving pattern recognition. The comparative study is conducted to reveal the interaction between each optimization objectives. Simulation results illustrate that the proposed EMS could maintain SOC around reference, reduce fuel consumption by 6.67%, and avoid PEMFC degradation which caused by frequent start-off and rapid load change.
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