Energy Management Strategy of HEV based on Simulated Annealing

  • Asrul Sani Ramli Universiti Malaysia Pahang
  • Muhammad Ikram Mohd Rashid Universiti Malaysia Pahang
  • Mohd Ashraf Ahmad Universiti Malaysia Pahang


Nowadays, the developments of hybrid electric cars are not something new. There are a lot of research are being done on how to increase the effectiveness of hybrid electric cars. One of the main aspects that are being aim is to reduce the fuel consumption while increasing the HEV performance. Artificial Intelligence such as Simulated Annealing for example is widely used to solve many engineering problem. This work focuses on the optimization of fuel and electrical power consumption in the hybrid electric vehicle (HEV) by utilizing a Simulated Annealing (SA) algorithm. The aim is to find the optimal control parameters of HEV such that the power loss is minimized.  In this study, a simplified model of HEV is considered. The performance of the SA based algorithm is analyzed in terms of the statistical analysis of the power loss. The results show that the SA based algorithm is able to minimize the power loss and increase the efficiency of the HEV.


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How to Cite
Ramli, A. S., Mohd Rashid, M. I., & Ahmad, M. A. (2020). Energy Management Strategy of HEV based on Simulated Annealing. International Journal of Integrated Engineering, 12(2), 30-37. Retrieved from