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Intelligent Control of Hybrid Vehicles based on the Simultaneous Optimization of Fuel Consumption and Pollution Emission

Mamouri, Ali | 2020

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 53631 (46)
  4. University: Sharif University of Technology
  5. Department: Energy Engineering
  6. Advisor(s): Boroushaki, Mehrdad
  7. Abstract:
  8. The issue under discussion in this paper is to optimize the fuel consumption of the Toyota Prius hybrid car. In order to solve this problem, the ADVISOR design model used by NREL in the Matlab / Simulink environment has been used. Various parts of this model are described. The optimization performed on this issue is based on the emotional controller. This controller works by simulating learning in animals based on encouraging and punishing them. With the introduction of the controller, the model and its inclusion in the fuel consumption control and its implementation have achieved good results. In the initial state and the controller in the model, the fuel consumption was 4.9 liters per 100 km of the route, but with the design of the emotional controller, this amount was reduced to 4.4 liters per 100 kilometers, which is a decrease of 10.2 percent. To implement this controller, the Advisor tool developed by NREL company and its application is the simulation of electric and hybrid vehicles. In addition to the presence of a number of simulated vehicles by default, there is also the ability to define a new vehicle. The controller designed in this project is implemented on the Toyota Prius model. to test the simulated vehicle, a number of standard driving cycles are defined where the simulated vehicle is implemented and its control parameters are investigated
  9. Keywords:
  10. Emotional Controller ; Hybrid Vehicles ; Advanced Vehicle Simulator (ADVISOR) ; Intelligent Control ; Toyota Prius Vehicle ; Internal Combustion Engines ; Fuel Consumption Optimization

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