A Method for Estimating the Remaining Power of Traction Batteries of Fixed-line Electric Vehicles

Abstract

The invention discloses a fixed line electric automobile power battery residual electric quantity estimation method. The method comprises the following steps: calibrating a work condition capacity C00, and obtaining a work condition coefficient K00, wherein K00=C00 / C0, and C0 is a rated capacity; calibrating a certain work condition mileage and a consumed electric quantity, and obtaining a work condition capacity change amount C10n; calibrating a battery state of health (SOH), wherein SOH=(a rated total mileage-an accumulated driving mileage) / the rated total mileage; calculating a current-day available capacity C, wherein C=C0*K00*SOH; and accumulating a consumed battery capacity Cu=(sigma C10n) / SOH, calculating a residual state of charge (SOC), wherein SOC=(C-Cu) / C*100%. According to the invention, an error source can be effectively eliminated, the estimation method is simple, and the estimation result is accurate.

Description

technical field [0001] The invention belongs to the field of electric vehicle power battery management, and in particular relates to a method for estimating the remaining power of a fixed-line electric vehicle power battery. Background technique [0002] An electric vehicle is a means of transportation with an electric motor as the power device and a battery as the energy storage device. The development of electric vehicles is an emerging strategic industry that countries have vigorously developed after the energy crisis and financial crisis. Therefore, battery management is extremely important. The remaining capacity of the battery pack (SOC) is an important parameter of the battery management system, the most important reference for battery usage route planning, and the basis for power management in battery management. [0003] The original method of estimating SOC is the open-circuit voltage method OCV, but this method needs to be stationary for a long time, and the tim...

AI Technical Summary

Problems solved by technology

[0003] The original method of estimating SOC is the open-circuit voltage method OCV, but this method needs to be stationary for a long time, and the time-integrated method estimates the power, so there will be errors in the correspondence between power and capacity

However, the popular Kalman filter method and fuzzy neural network method cannot be widely used due to the hardware conditions of the battery management system and the maturity of the algorithm itself, so the current SOC estimation error is very large.

Images