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Vehicle drivetrain and fuzzy controller optimization using a planar dynamics simulation based on a real-world driving cycle

Author

Listed:
  • Miranda, Matheus H.R.
  • Silva, Fabrício L.
  • Lourenço, Maria A.M.
  • Eckert, Jony J.
  • Silva, Ludmila C.A.

Abstract

The plug-in hybrid electric vehicle (PHEV) stands out among hybrid vehicles due to the ability to recharge the battery from an external source and improve vehicle performance and efficiency by increasing fuel economy and reducing emissions. Due to the use of two power sources, a power management strategy must be determined to ensure the operation of both systems achieves higher global efficiency. Therefore, this paper presents three fuzzy controllers. Two controllers act hierarchically to perform the power management, and the third controller is responsible for performing the gear shift. A multi-objective optimization based on the particle swarm algorithm is proposed to reduce the driver's action on the steering angle, minimize the mass of electrical components (electric motors and battery), the equivalent fuel consumption, and exhaust emissions. To do this, the electric motor torque curve, battery capacity and voltage, fuzzy controller parameters are optimized, and the best gearbox and mechanical differential configuration are determined. The best trade-off solution, when compared to the conventional vehicle, was able to improve the handling performance with a 71.9% reduction in the driver steering action, decrease fuel consumption by 18.44%, and reduce pollutant emissions by 69.34% of CO, 20.33% of HC, and 22.11% of NOx.

Suggested Citation

  • Miranda, Matheus H.R. & Silva, Fabrício L. & Lourenço, Maria A.M. & Eckert, Jony J. & Silva, Ludmila C.A., 2022. "Vehicle drivetrain and fuzzy controller optimization using a planar dynamics simulation based on a real-world driving cycle," Energy, Elsevier, vol. 257(C).
    • Handle: RePEc:eee:energy:v:257:y:2022:i:c:s0360544222016723
    DOI: 10.1016/j.energy.2022.124769
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    References listed on IDEAS

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    1. Eckert, Jony Javorski & Silva, Fabrício L. & da Silva, Samuel Filgueira & Bueno, André Valente & de Oliveira, Mona Lisa Moura & Silva, Ludmila C.A., 2022. "Optimal design and power management control of hybrid biofuel–electric powertrain," Applied Energy, Elsevier, vol. 325(C).
    2. Miranda, Matheus H.R. & Silva, Fabrício L. & Frutuoso, Felipe S. & Eckert, Jony J. & Oliveira, Mona Lisa M. & Silva, Ludmila C.A., 2025. "Novel prediction approach for exhaust gases using Elman neural network combined with particle swarm optimization," Energy, Elsevier, vol. 331(C).
    3. Miranda, Matheus H.R. & Silva, Fabrício L. & Lourenço, Maria A.M. & Eckert, Jony J. & Silva, Ludmila C.A., 2023. "Particle swarm optimization of Elman neural network applied to battery state of charge and state of health estimation," Energy, Elsevier, vol. 285(C).
    4. Huang, Xiaohui & Huang, Qi & Cao, Huajun & Yan, Wanbin & Cao, Le & Zhang, Qiongzhi, 2023. "Optimal design for improving operation performance of electric construction machinery collaborative system: Method and application," Energy, Elsevier, vol. 263(PA).

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