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<p>To address the insufficient dynamic response of power distribution in range-extended special-purpose vehicles under complex operating conditions, a variable-step-size model predictive multi-objective coordination strategy is proposed in this paper. By identifying the operating conditions to adaptively adjust the prediction step size, it performs real-time calculation of the optimal engine-generator speed and torque, achieving rapid tracking of transient power demands and optimization of steady-state computational resources. Hardware-in-the-loop simulations conducted on a modular real-time simulator demonstrate that this method reduces computational resource consumption by 10% while improving power generation tracking accuracy by 13.62%. This approach provides a high-dynamic power allocation solution for special hybrid vehicles.</p>

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Power distribution strategy for hybrid electric vehicles using adaptive variable step-size model predictive control

  • 期刊论文

  • 发表日期：

    2026年3月16日

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  • Siyang Gong,
  • Huihua Feng,
  • Fumeng Zheng,
  • Jinguan Yin,
  • Fuhong Kuang,
  • Wei Xiao,
  • Changjiang Meng,
  • Quanhong Chu

摘要

To address the insufficient dynamic response of power distribution in range-extended special-purpose vehicles under complex operating conditions, a variable-step-size model predictive multi-objective coordination strategy is proposed in this paper. By identifying the operating conditions to adaptively adjust the prediction step size, it performs real-time calculation of the optimal engine-generator speed and torque, achieving rapid tracking of transient power demands and optimization of steady-state computational resources. Hardware-in-the-loop simulations conducted on a modular real-time simulator demonstrate that this method reduces computational resource consumption by 10% while improving power generation tracking accuracy by 13.62%. This approach provides a high-dynamic power allocation solution for special hybrid vehicles.