ZHANG Weiqi,SONG Kai,SUN Chuanyu,et al.Adaptive Continuous Sliding Mode Control of Hybrid Energy Storage System Based on Fuel Cells[J].Automation of Electric Power Systems,2026,50(18):143-154.
ZHANG Weiqi,SONG Kai,SUN Chuanyu,et al.Adaptive Continuous Sliding Mode Control of Hybrid Energy Storage System Based on Fuel Cells[J].Automation of Electric Power Systems,2026,50(18):143-154.DOI: 10.7500/AEPS20250831013.
Adaptive Continuous Sliding Mode Control of Hybrid Energy Storage System Based on Fuel Cells
Traditional cars consume fossil fuels while emitting large amounts of carbon and nitrogen oxides
which affects air quality. In contrast
fuel cell hybrid electric vehicle (FCHEV) powered by renewable energy sources are gaining increasing market favor due to their environmental advantages. The stable operation of FCHEV relies on the sustainable management of energy in its hybrid energy storage system (HESS). To this end
a structurally simple adaptive continuous sliding mode control strategy is proposed for a FCHEV-HESS consisting of fuel cells
hybrid photoelectrochemical cells
photovoltaic cells
batteries
and supercapacitors
aiming to improve energy conversion efficiency and robustness. First
a DC-bus-based internal model of the HESS is established
and the output current characteristics of each module are analyzed via power conservation. Then
a HESS energy management strategy is designed according to FCHEV load variations to achieve sustainable power supply under complex driving conditions. Next
adaptive gains and a super-twisting sliding mode algorithm are introduced to design controllers for each module
dynamically regulating the DC-bus voltage and load currents of the HESS. Finally
a hardware-in-the-loop experimental platform is built to validate the effectiveness of the proposed strategy. Results show that
compared with conventional sliding mode strategies
the proposed method improves the current response speed of the FCHEV-HESS by 29.5% and reduces the current tracking error under continuous speed variations by 44.2%.
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references
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