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Optimal control strategy design based on dynamic programming for a dual-motor coupling-propulsion system.

Shuo Zhang1, Chengning Zhang1, Guangwei Han1

  • 1National Engineering Laboratory for Electric Vehicles, School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China.

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|December 26, 2014
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Summary
This summary is machine-generated.

This study optimizes the control strategy for dual-motor coupling-propulsion electric buses (DMCPEB) to reduce energy loss. The dynamic programming approach enhances efficiency without frequent mode switching.

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Area of Science:

  • Automotive Engineering
  • Control Systems
  • Energy Efficiency

Background:

  • Electric buses are crucial for sustainable transportation.
  • Dual-motor systems offer potential for improved performance and efficiency.
  • Optimizing control strategies is key to maximizing energy savings in electric powertrains.

Purpose of the Study:

  • To model a dual-motor coupling-propulsion electric bus (DMCPEB).
  • To determine the optimal control strategy for minimizing energy loss.
  • To develop near-optimal control rules for practical implementation.

Main Methods:

  • Dynamic programming (DP) technique was employed.
  • Modeling of subsystem dynamic features and energy loss.
  • Extraction of improved control rules from DP solutions.

Main Results:

  • Optimal control strategy identified, including thresholds and power split ratios.
  • Near-optimal control strategies were developed.
  • Significant reduction in energy loss was achieved.
  • No increase in mode switching frequency was observed.

Conclusions:

  • The proposed control strategy effectively reduces energy loss in DMCPEBs.
  • Near-optimal control rules provide a practical solution for energy saving.
  • The method enhances the efficiency of dual-motor electric bus systems.