Real-time statistical method, system and electric vehicle for charging and discharging times of power battery

Abstract

The invention relates to a real-time statistical method and system for charge and discharge times of a power battery as well as an electric vehicle. The method comprises the following steps of obtaining changing situation of an SOC of the power battery along with time in real time; when a charge extreme point or a discharge extreme point occurs, respectively inputting a charge extreme point region or a discharge extreme point region; comparing values of the charge extreme point region and the discharge extreme point region, if a difference between the values is greater than a preset difference and a time difference is greater than a preset time difference, storing the values into the original regions, otherwise respectively extracting the values to a new charge extreme point region and a new discharge extreme point region while removing from the original regions; and respectively taking the number of the values in the charge extreme point region, the discharge extreme point region, the new charge extreme point region and the new discharge extreme point region as the charge and discharge times and brake energy feedback times to output. According to the method, the system and the electric vehicle, the real-time statistics of the charge and discharge times of the power battery can be realized, the real-time statistics of the brake energy feedback times of the power battery can be realized, the real-time performance is strong, and the computational accuracy is high.

Description

technical field [0001] The invention relates to the technical field of electric vehicles, in particular to a method and system for real-time statistics of charging and discharging times of a power battery and an electric vehicle. Background technique [0002] As the energy source of electric vehicles, especially pure electric vehicles, power batteries are often in a more complicated working state to meet the needs of driving conditions. The operating environment of the power battery is relatively complex. Not only is it often in the state of charging and discharging with different currents, but it is also impacted by different temperatures and vibrations. Repeated operation for a long time under the above conditions will accelerate battery attenuation and shorten battery life. Therefore, it is necessary to understand the charging and discharging conditions of the power battery. [0003] In the prior art, the number of charge and discharge cycles of the battery is generally ...

AI Technical Summary

Problems solved by technology

Although the rainflow counting method can equivalently calculate the number of battery charge and discharge cycles, the equivalent of this method cannot truly restore the battery charge and discharge cycle process, and cannot clearly reflect the actual trajectory of the SOC change in each charge and discharge cycle of the battery.

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