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A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump
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Enhancing variable frequency drive efficiency using fractional hybrid Particle Swarm Optimization and comprehensive

Kashif Habib1, Abdul Wadood2,3, Shahbaz Khan4

  • 1Automotive Engineering Research Institute, Jiangsu University, Zhenjiang, 212000, China.

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Summary

This study introduces a Fractional Calculus Hybrid Approach for Permanent Magnet Synchronous Motor (PMSM) drives. The method enhances dynamic and thermal performance, improving energy efficiency and durability for electric vehicles.

Keywords:
Co-optimizationElectric vehicle drivesFractional calculusHardware-in-the-Loop (HiL)Hybrid optimizationPMSMParticle Swarm Optimization (PSO)Simulated annealingThermal modelingVariable frequency drive (VFD)

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Area of Science:

  • Electrical Engineering
  • Control Systems
  • Computational Intelligence

Background:

  • Vector-controlled Permanent Magnet Synchronous Motor (PMSM) drives are crucial in modern electric vehicles.
  • Enhancing both dynamic and thermal performance of PMSM drives is essential for efficiency and reliability.
  • Existing optimization methods may face challenges in convergence stability and global exploration.

Purpose of the Study:

  • To propose a novel Fractional Calculus Hybrid Approach for PMSM drives.
  • To improve the dynamic and thermal performance of vector-controlled PMSM drives.
  • To enhance energy efficiency, thermal reliability, and long-term durability of PMSM-based Variable Frequency Drive (VFD) systems.

Main Methods:

  • Developed a Fractional Hybrid Particle Swarm Optimization (FHPSO) algorithm, embedding fractional-order calculus into Particle Swarm Optimization (PSO) and hybridizing with Simulated Annealing (SA).
  • Precisely tuned Proportional-Integral (PI) controller parameters for improved transient and steady-state responses.
  • Integrated a detailed thermal model of the Variable Frequency Drive (VFD) for temperature prediction and regulation under varying conditions.

Main Results:

  • Achieved significant reductions in overshoot and settling time for drive responses.
  • Demonstrated substantial improvement in temperature regulation, reducing MOSFET temperatures from over 80°C to approximately 29°C (a ~64% improvement).
  • Validated the approach through comprehensive simulations and Hardware-in-the-Loop (HiL) experiments.

Conclusions:

  • The Fractional Calculus Hybrid Approach offers a mathematically rigorous and computationally efficient method for PMSM drive optimization.
  • This approach significantly enhances dynamic response, thermal management, and overall system reliability.
  • The findings support the application of this method in advanced electric vehicle VFD systems for improved performance and durability.