Battery surplus capacity calculating method based on AGV

Abstract

The invention discloses a battery surplus capacity calculating method based on an AGV. The method includes the steps that when a battery is in a discharging state, the state parameters of the battery are collected; the state parameters are matched with a pre-established battery discharging model database, and a battery surplus capacity comparison value which has the highest matched degree with the state parameters is searched for; the current battery surplus capacity is calculated through an ampere-hour integral method according to the battery surplus capacity comparison value; whether the current battery surplus capacity is larger than a battery surplus capacity reference value or not is judged; an open-circuit voltage method is selected to be used for calculating the current battery surplus capacity according to judging results or the current battery surplus capacity calculated through the ampere-hour integral method is used as a calculation result. Compared with the prior art, on the basis of the existing open-circuit voltage method and the ampere-hour integral method, when the ampere-hour integral method is used for calculating, the current battery surplus capacity is corrected according to the data in the pre-established battery discharging model database, and therefore the calculation accuracy degree of the battery surplus capacity is improved.

Description

technical field [0001] The present invention relates to the technical field of battery management, and more particularly to an AGV car-based battery remaining capacity measurement method. Background technique [0002] (Automated Guided Vehicle, referred to as AGV), commonly referred to as AGV trolley, refers to a transport vehicle equipped with automatic guidance devices such as electromagnetic or optical, capable of driving along a prescribed guiding path, with safety protection and various transfer functions. AGV cars usually use batteries as the energy source in industrial applications. With the scale and automation of industrial production, the application range of AGV cars is becoming wider and wider. higher requirements. To improve the reliability and work efficiency of the AGV car, the first thing to do is to ensure the reliability of the AGV car energy system. And how to accurately and timely obtain the remaining energy of the AGV car battery, based on which the AG...

AI Technical Summary

Problems solved by technology

In the application where the lithium battery is used as the main power source of the AGV car, during the traveling process of the AGV car, due to the continuous change of the load and the very large change rate, and the large difference in the operating environment of the power battery, the boundary conditions corresponding to the battery model cannot be determined. , so that the SOC cannot be accurately estimated in real time, and the health status of the battery itself cannot be predicted, so that the battery cannot be effectively protected, and the probability of battery damage is greatly increased.

[0004] At present, the commonly used methods for SOC measurement include the open circuit voltage method and the ampere-hour integral method. Although the open circuit voltage method is simple and easy to implement, and the effect is good at the initial and final stages of charging, but because the open circuit voltage needs to be estimated, the battery needs to stand for a long time, so It cannot meet the requirements of online real-time detection; and the ampere-hour integration method calculates the dynamic SOC value of the battery by integrating the charging and discharging current of the battery with time, and the response is fast, but due to errors in current measurement and calculation, it is easy to cause cumulative The emergence of errors, after a period of use, due to the continuous accumulation of accumulated errors, the SOC value will shift, which cannot accurately reflect the current actual SOC value, which will easily cause abnormal control strategies and seriously affect battery life.

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