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<p>In order to save energy consumption of distributed drive electric vehicles while ensuring the driving stability, a novel fast model predictive control (NFMPC) strategy is presented. Firstly, an integrated control method of active front steering and direct yaw-moment control based on model predictive control is designed, and the adaptive weight factor with consideration of multi-objective optimization problem is obtained. Then, in order to reduce the heavy computational burden of solving quadratic programming problem, the fast solving algorithm is proposed. The Laguerre function is adopted to reduce the dimension of the control input sequences, the ramp function with unique structure is used to transform the quadratic programming problem to an implicit equation, and an improved active set method is proposed to solve the implicit equation, which can reduce the number of iterations, simplify the selection of the iteration direction, and improve the solving speed. Finally, the results of Matlab/Simulink and CarSim joint simulation show the effectiveness of the proposed NFMPC strategy in various driving scenarios. The proposed strategy can ensure the coordination of stability and economy of the distributed drive electric vehicles, and online quadratic programming solution is fast, its computational burden is acceptable.</p>

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A novel fast model predictive control design for distributed drive electric vehicles considering stability and economy

  • 期刊论文

  • 发表日期：

    2026年4月7日

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  • Hongwei Wang,
  • Meixi Zhao,
  • Shiyi Feng,
  • Yuhang Zhang,
  • Xun Wang

摘要

In order to save energy consumption of distributed drive electric vehicles while ensuring the driving stability, a novel fast model predictive control (NFMPC) strategy is presented. Firstly, an integrated control method of active front steering and direct yaw-moment control based on model predictive control is designed, and the adaptive weight factor with consideration of multi-objective optimization problem is obtained. Then, in order to reduce the heavy computational burden of solving quadratic programming problem, the fast solving algorithm is proposed. The Laguerre function is adopted to reduce the dimension of the control input sequences, the ramp function with unique structure is used to transform the quadratic programming problem to an implicit equation, and an improved active set method is proposed to solve the implicit equation, which can reduce the number of iterations, simplify the selection of the iteration direction, and improve the solving speed. Finally, the results of Matlab/Simulink and CarSim joint simulation show the effectiveness of the proposed NFMPC strategy in various driving scenarios. The proposed strategy can ensure the coordination of stability and economy of the distributed drive electric vehicles, and online quadratic programming solution is fast, its computational burden is acceptable.