A Mathematical Model for Capacity Loss Optimization of Electrical Vehicles Iron-Phosphate-Based Supercharged Batteries Using Bees Algorithm

The recent orientation towards using Electrical Vehicles (EVs), as an alternative to fossil-fuelled- powered vehicles, led to increasing the interest in producing super charged batteries, which is the critical component of EVs and the key of its development and rapid spread. Iron-Phosphate-Based Supercharged Battery (IP-BSBs) has proved its efficiency as a competitor to lead and lithium batteries. Now, it became necessary to increase its efficiency, by the optimum design, to appropriately fit its correspondent vehicle. However, conventional calibration models used to obtain the optimal design parameters often lead to a dramatic waste of time, effort, and resources (cost), without any guarantee to reach the optimal solution. In this paper, a mathematical model is proposed to optimize the capacity loss of IP-BSBs under real manufacturing conditions. The proposed model was solved using meta-heuristic search algorithm represented by Bees Algorithm (BA). Simulation results have shown the precision of our model and the possibility of obtaining an optimal design of IP-BSBs compared to its counterparts of widely existing types.