Unlock instant, AI-driven research and patent intelligence for your innovation.

Battery SOC estimation method

A SOCB and battery technology, applied in the field of battery energy management, can solve problems such as unoptimized forgetting factors, data saturation, and large fluctuations in estimation errors, so as to improve the accuracy of SOC real-time estimation and avoid recursive data saturation.

Active Publication Date: 2020-02-04
MICROVAST
View PDF11 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The recursive least squares method can effectively correct the state of charge estimated by the ampere-hour integral, but there are two problems in the application process of the recursive least squares method: 1. The recursive least squares method is prone to data saturation; 2. The forgetting factor in the recursive least squares method cannot be optimized in real time with the working conditions, resulting in large fluctuations in estimation errors

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Battery SOC estimation method
  • Battery SOC estimation method
  • Battery SOC estimation method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0031] Such as figure 1 As shown, this embodiment provides a method for estimating the SOC of a battery. Applying this method to the SOC estimation of a ternary battery includes the following steps:

[0032] A. Obtain the current SOC value SOC of the battery through the battery management system (BMS) BMS , according to SOCBMS Determines the exit criteria for the recursive least squares method. The battery management system updates the battery SOC value in real time. When using this method to estimate the SOC, first obtain the SOC value estimated by the battery management system SOC BMS , and according to the SOC BMS To determine the exit condition of the recursive least squares method in this method;

[0033] B. Use the ampere-hour integration algorithm to continuously estimate the real-time SOC value of the battery from the estimation program;

[0034] The exit condition is: in the recursive process of the recursive least squares method, the cumulative change in SOC reco...

Embodiment 2

[0050] The difference between this embodiment and Embodiment 1 is:

[0051] The exit condition of the recursive least squares method is: the cumulative change of SOC recorded by the ampere-hour integration algorithm ≥ ΔErr*dSOC BMS / dOCV BMS And when the number of recursions N is more than 60 times, or when the number of recursions is more than 300 times, stop the recursion;

[0052] When executing step D, when the SOC variation of the battery is greater than 5%, the recursive least square method is used to calculate the battery at t B SOC value at time SOC B ;

[0053] In judging SOC B validity, when the SOC B complies with the SOC in the B The correlation between the change of OCV value and SOC value at dSOC B / dOCV B B -SOC A When -ΔSOC|≤0.5% is the condition, the SOC is judged B Valid; when abs|SOC B -SOC A -ΔSOC|≤0.5% and dSOC B / dOCV B When ≥0.05% / mV, it is judged that SOCB is invalid; when abs|SOC appears B -SOC A When -ΔSOC|>0.5%, continue to repeat ste...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention provides a battery SOC estimation method. The method comprises the following steps of: A, acquiring a current SOC value SOCBMS of a battery by a battery management system, and determining an exit condition of a recursive least square method according to the SOCBMS; B, estimating the SOC value of the battery in real time by utilizing an ampere-hour integral algorithm; C, estimating the SOC value of the battery at the moment tA by using the recursive least square method, and stopping recursion when an exit condition is met to obtain the SOC value SOCA at the moment tA; D, recordingSOC variation after the moment tA by utilizing ampere-hour integral, estimating the SOC value of the battery at the moment tB by utilizing the recursive least square method again when the SOC variation of the battery is greater than a preset value, and stopping recursion when the exit condition is met, so as to obtain an SOC value SOCB at the moment tB; and E, determining the effectiveness of theSOCB. By using the SOC estimation method provided by the invention, the ampere-hour integral accumulation error can be effectively calibrated, and the SOC estimation precision is improved.

Description

technical field [0001] The invention relates to the field of battery energy management, in particular to a battery SOC estimation method. Background technique [0002] The state of charge (SOC) estimation of the battery is one of the key technologies in the battery management system. It is not only related to the estimation of the mileage of the car, but also related to the safety of the power battery. Accurate estimation of battery SOC is conducive to accurately predicting the remaining power of the battery, and then determining an effective battery management strategy, avoiding damage to the battery caused by overcharging or discharging, and prolonging the service life of the battery [0003] At present, the common estimation method is to obtain the SOC by studying the open circuit voltage (Open Circuit Voltage, OCV) of the battery, the change law of the voltage during constant current discharge, and the internal resistance of the battery to obtain the SOC, which results i...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/367
CPCY02T10/70
Inventor 程海峰方伟峰马瑞军
Owner MICROVAST