Decentralized Control of Electric Vehicle Smart Charging for Cost Minimization Considering Temperature and Battery Health
A decentralized optimal control strategy for one electric vehicle is proposed to minimize the charging cost and maximize the customer's profit while considering the temperature effect on lithium ion batteries. To achieve this, we propose a smart bidirectional charging algorithm that exploits the grid to vehicle and vehicle to grid concepts. The decentralized smart charging algorithm takes into account the daily energy price, electric vehicle information, customer needs, the outside air temperature and the temperature of the battery, in order to formulate and solve a non linear constrained optimization problem. The algorithm is tested over several different scenarios considering a daily energy price profile in France. The results obtained show a great efficiency of the decentralized algorithm and significant charging cost reduction compared to the uncontrolled charging.
2019 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)