Loss expenditure calculating method for electric vehicle battery participating in power grid dispatching

Abstract

The invention discloses a loss expenditure calculating method for an electric vehicle battery participating in power grid dispatching. An aggregator determines a work mode of an electronic vehicle in a current work period in real time through an intelligent control algorithm; the charge and discharge rate, discharge depth and the number of circulation times of the electronic vehicle battery are obtained; the attenuation rate of the number of battery circulation times and the attenuation rate of battery capacity generated due to temperature and the attenuation rate of the number of battery circulation times generated due to discharge depth are calculated; according to the rated number of circulation times of the battery, the number of circulation under V2G application is calculated; degradation cost of the battery is calculated according to the number of circulation times; finally, loss expenditure of the battery in the current work period is calculated according to attenuation rate parameters of the current work period. Influences of temperature and discharge depth on the number of circulation times of the battery are combined, battery temperature rise caused by changes of internal impedance of the battery is introduced, and loss estimation of the battery is more precise and accords with actual situations better.

Description

technical field [0001] The invention belongs to the technical field of electric vehicle power grid dispatching, and more specifically relates to a method for calculating battery loss expenditure of electric vehicles participating in power grid dispatching. Background technique [0002] The large-scale application of electric vehicles will provide a large amount of distributed energy storage for the grid on the load side. In the V2G (Vehicle-to-grid) system, electric vehicles can use electric energy as a load or feed power to the grid. A large number of electric vehicles are aggregated, and their total capacity can sell electricity to the grid and participate in frequency regulation, ultimately increasing user benefits. Since the arrival and departure time of each electric vehicle is inconsistent, and the state of charge of the battery is different, it is necessary to carry out intelligent scheduling control for electric vehicles, that is, to determine whether each electric v...

AI Technical Summary

Problems solved by technology

The current calculation method of electric vehicle loss expenditure does not consider the impact of internal temperature rise on the battery during the charging and discharging process of the battery, nor does it discuss in detail the attenuation of the battery cycle life and battery capacity caused by the temperature. In the calculation method, it is estimated that within the service life of the battery, the calculation of the available capacity is not accurate enough

Images