Cloud Computing-based Sustainable Energy Management and Market Analysis for New Energy Vehicles

If the EV battery is well managed during use, the performance of the EV can be maximized. In order to adapt to the use of different types of batteries and suitable for electric vehicles with different power levels, this paper studies a universal sustainable energy management scheme for new energy vehicles. Firstly, we built an intelligent energy monitoring scheme for new energy vehicles through ZigBee ad hoc network and sensor technology, which is used to monitor and experiment with the environment and energy control related to new energy vehicles. Secondly, this paper uses the non-dominant ranking genetic algorithm to achieve the purpose of optimizing the energy battery consumption detection scheme and finally realizes the equalization of the consumption monitoring scheme. The simulation experiments are used to calculate the power data of the energy management scheme under different weather conditions. The experimental results verify that the energy management scheme can effectively manage and analyze the energy consumption of new energy vehicles.