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Article

Energy Mutual Aid Converter with Fractional-Order Model Predictive Control for Field Medical Electric Vehicles

College of Information Science and Engineering, Northeastern University, Shenyang 110819, China
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Author to whom correspondence should be addressed.
Fractal Fract. 2026, 10(8), 511; https://doi.org/10.3390/fractalfract10080511
Submission received: 5 July 2026 / Revised: 22 July 2026 / Accepted: 24 July 2026 / Published: 27 July 2026

Abstract

Although electric vehicles have been widely adopted in recent years, insufficient charging infrastructure in remote areas may still compromise the continuity of emergency operations involving field medical electric vehicles (EVs). Motivated by the need for temporary DC energy support from a donor vehicle to a field medical EV, this paper investigates an isolated DC–DC energy-sharing converter based on a series-resonant dual-active-bridge (SRDAB) topology and its associated control method. First, the SRDAB converter is employed to satisfy the requirements of low-voltage input, galvanic isolation, voltage step-up, and DC power transfer. Based on the fundamental harmonic approximation (FHA), a steady-state power relationship and a control-oriented dynamic model are derived to characterize the coupling between the phase-shift angle, transferred power, and output voltage. Subsequently, a fractional-order model predictive control strategy tuned offline using the grey wolf optimizer (GWO-FOMPC) is developed to address donor-side input-voltage variations, recipient-side equivalent-load disturbances, and the nonlinear power-transfer characteristics of the SRDAB converter. In this strategy, a fractional-order proportional–integral outer loop generates the reference transferred power, while a fractional-order predictive inner loop analytically determines the phase-shift command online. Finally, simulations and converter-level experiments validate the dynamic regulation performance of the proposed control strategy under emulated energy-sharing conditions for field medical EVs.
Keywords: field medical electric vehicle; fractional-order model predictive control; phase-shift control; series-resonant dual-active-bridge converter; vehicle-to-vehicle energy transfer field medical electric vehicle; fractional-order model predictive control; phase-shift control; series-resonant dual-active-bridge converter; vehicle-to-vehicle energy transfer

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MDPI and ACS Style

Huang, C.; Liu, X. Energy Mutual Aid Converter with Fractional-Order Model Predictive Control for Field Medical Electric Vehicles. Fractal Fract. 2026, 10, 511. https://doi.org/10.3390/fractalfract10080511

AMA Style

Huang C, Liu X. Energy Mutual Aid Converter with Fractional-Order Model Predictive Control for Field Medical Electric Vehicles. Fractal and Fractional. 2026; 10(8):511. https://doi.org/10.3390/fractalfract10080511

Chicago/Turabian Style

Huang, Chuang, and Xiaozhi Liu. 2026. "Energy Mutual Aid Converter with Fractional-Order Model Predictive Control for Field Medical Electric Vehicles" Fractal and Fractional 10, no. 8: 511. https://doi.org/10.3390/fractalfract10080511

APA Style

Huang, C., & Liu, X. (2026). Energy Mutual Aid Converter with Fractional-Order Model Predictive Control for Field Medical Electric Vehicles. Fractal and Fractional, 10(8), 511. https://doi.org/10.3390/fractalfract10080511

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