Research Article Open Access

Development of a Fuzzy Logic Controller for Real-time Energy Optimization of a Hybrid vehicle

Sk. Khairul Hasan1 and Anoop Kumar Dhingra1
  • 1 University of Wisconsin Milwaukee, United States
Journal of Mechatronics and Robotics
Volume 4 No. 1, 2020, 236-253


Submitted On: 16 August 2020 Published On: 21 October 2020

How to Cite: Hasan, S. K. & Dhingra, A. K. (2020). Development of a Fuzzy Logic Controller for Real-time Energy Optimization of a Hybrid vehicle. Journal of Mechatronics and Robotics, 4(1), 236-253.


The ability to combine positive features of an internal combustion engine with those of an electric motor has been fundamental to the advancement of the high-performance energy-optimized hybrid vehicles. However, due to a lack of reliable and realistic hybrid vehicle models, much of the hybrid vehicle controller research has been limited to computer simulations. To overcome this shortcoming, this paper utilizes a highly reliable vehicle model (Autonomie) for simulation. A state-of-the-art fuzzy logic controller was developed that considers the battery state of charge, wheel torque demand and vehicle speed as the input variables. An ARM Cortex M3 microcontroller-based control hardware prototype was developed and the processor in loop simulation was performed to verify the feasibility of the developed controller in an embedded real-time application. The results of this study indicate that the developed fuzzy logic controller significantly improved the performance (up to 48%) of the hybrid vehicle in a real-time application compared to Autonomie's built-in controller. The processor in loop test results provide evidence of the effectiveness of the developed control algorithm in the embedded real-time form

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  • Fuzzy Logic Control
  • Plug-in Hybrid Vehicle
  • Autonomie
  • Fuel Economy
  • Processor in Loop Simulation (PIL)