Electric vehicle V2G control system based on particle swarm optimization algorithm

Abstract

The invention relates to an electric vehicle V2G control system based on a particle swarm optimization algorithm. The electric vehicle V2G control system comprises an electricity price setting module, a battery temperature loss calculation module, a battery life loss calculation module, a charging process loss calculation module and a control strategy calculation module; the electricity price setting module is connected with the battery temperature loss calculation module, the charging process loss calculation module and the control strategy calculation module, and the battery temperature loss calculation module, the battery life loss calculation module and the charging process loss calculation module are all connected with the control strategy calculation module. The particle swarm optimization algorithm is used for comprehensively considering the electric vehicle charging and discharging power and the optimal electric vehicle V2G control strategy obtained under constraint conditions such as allowed corresponding charging and discharging time periods, the maximized economic benefits in the whole battery life cycle is achieved, meanwhile, the safety of a battery in the charging process can be better ensured, and a user can obtain the best experience in the whole battery life cycle of the electric vehicle.

Description

technical field [0001] The invention relates to the technical field of electric vehicle charging, in particular to an electric vehicle V2G control system based on a particle swarm optimization algorithm. Background technique [0002] The world's energy shortage is becoming more and more serious, and environmental problems are becoming more and more urgent. As a new low-carbon and pollution-free means of transportation, electric vehicles have incomparable advantages in alleviating the energy crisis and promoting the harmonious and friendly development of human beings and the natural environment. Advantages have become the focus of governments, automakers and energy companies around the world, and China has listed electric vehicles as a strategic emerging industry. V2G (vehicle to grid) refers to the interactive technology between electric vehicles and the grid, which is generally realized through charging stations and charging piles. Electric vehicles can provide auxiliary s...

AI Technical Summary

Problems solved by technology

But no matter what kind of existing control system, it only focuses on the time-of-use electricity price of the grid, the capacity and allowable power of the electric vehicle battery, and does not consider the life decay of the battery itself during the charging and discharging process and the battery life during the charging and discharging process. The effect of temperature maintenance

Studies have shown that if the battery temperature is too low, the power and capacity released by the battery will be significantly reduced. Lithium precipitation caused by high-power charging and overcharging will lead to irreversible decline in battery capacity, which may cause a short circuit in the battery and bury safety hazards; while the battery temperature is too high. High, it will accelerate the aging of the battery and increase the cost of battery loss

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