Research on Intelligent Charging Strategy of Large-Scale Electric Vehicle Based on Adaptive Genetic Algorithm

In this research, an intelligent charging strategy of large-scale electric vehicle based on adaptive genetic algorithm is proposed. The proposed method can charge the battery with a minimum amount of energy consumption by considering the characteristics and behavior of each type of battery. This approach can reduce the cost of electricity used to charge batteries during long-distance travel. The solution model of intelligent charging control strategy for large electric vehicle is established. The proposed intelligent charging control strategy consists of three sub-control strategies, namely the charge rate control strategy, the battery temperature control strategy and the power management strategy. In order to achieve a better performance in terms of energy efficiency and environmental protection, it is necessary to combine these three sub-control strategies together into one overall intelligent charging control scheme. This paper presents an integrated intelligent charging control scheme based on fuzzy logic controller (FLC) and neural network (NN). The FLC can be used as a simple way to implement the fuzzy logic function with limited computational resources.