Algorithm based on SOC and SOH joint estimation of power battery

A power battery and joint estimation technology, which is applied in the direction of battery/fuel cell control devices, measuring electricity, electric vehicles, etc., can solve the problems of complex and harsh working conditions of real vehicles, complex electrochemical reaction process of power lithium-ion batteries, etc., and achieve shortening The effect of algorithm running time, avoiding random selection of parameters, and improving algorithm efficiency

Active Publication Date: 2020-03-17
XIAN UNIV OF SCI & TECH
View PDF10 Cites 16 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The internal electrochemical reaction process of the power lithium-ion battery is complex, and the actual vehicle working conditions are complex and harsh. There are many methods for estimating the state of charge as an invisible state quantity, but each single method has both advantages and disadvantages.

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
  • Algorithm based on SOC and SOH joint estimation of power battery
  • Algorithm based on SOC and SOH joint estimation of power battery
  • Algorithm based on SOC and SOH joint estimation of power battery

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0053] In order to further explain the technical means and effects of the present invention to achieve the intended purpose of the invention, the specific implementation, structure, features and effects of the application according to the present invention will be described in detail below in conjunction with the accompanying drawings and preferred embodiments. .

[0054] An algorithm based on joint estimation of power battery SOC and SOH is characterized in that it includes two parts: offline data extraction and online data acquisition.

[0055] The specific steps of the offline data extraction are as follows:

[0056] 2.1. Under the cycle test condition, the data of the power lithium-ion battery is collected offline, and the offline data is used to train the TSBSO-RF model, and the construction of the offline SOC estimation part model is completed;

[0057] 2.2. Under the cycle test condition, the data of the power lithium-ion battery is collected offline, and the offline d...

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 relates to the technical field of battery state-of-charge estimation of an electric vehicle power battery system, in particular to an algorithm based on SOC and SOH joint estimation of apower battery. The method optimizes parameters of an RF algorithm through a TSBSO algorithm so as to optimize an algorithm pruning threshold, the number of pre-test samples and the number of decisiontrees, and the optimized algorithm can quickly find a globally optimal solution and improve the algorithm efficiency. The SOH of the power battery is estimated through the RBM, the RBM is optimized through the WOA, and model parameters are prevented from falling into local optimum and thus the purposes of correcting the maximum available capacity of the battery and improving the SOC estimation precision of the power battery under the full-time working condition are achieved; the SOC of the power battery is estimated through the combination of a TSBSO-RF H-infinity calculation method and filtering, the advantages of the two algorithms are exerted by adopting a linear fusion algorithm, the defects of the two algorithms are avoided and the SOC estimation precision of the power battery is higher.

Description

technical field [0001] The invention relates to the technical field of electric vehicle power battery system battery charge state estimation, in particular to an algorithm based on joint estimation of power battery SOC and SOH. Background technique [0002] Lithium-ion power batteries have the advantages of high energy density, high power density, long service life, high safety, high reliability, low self-discharge rate, light weight and no memory. Due to the irreversible overcharge and overdischarge process of lithium-ion power batteries, and the drastic changes in external characteristics with temperature changes, it is necessary to be equipped with a complete battery management system (BMS) in order to be able to feedback and control the real-time status of the battery pack to ensure power. The safety and reliability of the battery pack. [0003] The state of charge (SOC) is the most important parameter in the BMS, and it is also the most important part of the battery st...

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): G01R31/367G01R31/392G01R31/3842B60L58/12B60L58/16
CPCG01R31/367G01R31/392G01R31/3842B60L58/12B60L58/16Y02T10/70
Inventor 寇发荣王思俊王甜甜洪峰张海亮
Owner XIAN UNIV OF SCI & TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap