Service life prediction method of power battery in time-varying working condition

A power battery and life prediction technology, which is applied in the direction of measuring electricity, measuring devices, measuring electrical variables, etc., can solve the problems of low accuracy of prediction results, and the life prediction model does not conform to actual operating conditions, and achieves simple calculation, easy to use, etc. Calculate and ensure the effect of safe use

Active Publication Date: 2018-11-30
CH AUTO TECH CORP CO LTD
View PDF7 Cites 32 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In view of this, the present invention proposes a life prediction method for power batteries under time-varying working conditions, aiming to solve the

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
  • Service life prediction method of power battery in time-varying working condition
  • Service life prediction method of power battery in time-varying working condition
  • Service life prediction method of power battery in time-varying working condition

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0035] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art. It should be noted that, in the case of no conflict, the embodiments of the present invention and the features in the embodiments can be combined with each other. The present invention will be described in detail below with reference to the accompanying drawings and examples.

[0036] refer to figure 1 , the life prediction method of the power battery under the time-varying working conditions provided by the embodiment of the presen...

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 service life prediction method of a power battery in a time-varying working condition. The service life prediction method includes the steps that based on an actual working condition of the power battery for a vehicle, three main factors, T, C and DOD, which affect the service life of the power battery are taken as variables, combined with the time-varying characteristicsof affecting factors in a vehicle working condition, firstly, a service life prediction model of the power battery in a time-varying current condition is established in the time scale of a single cycle; in the time scale of multiple cycles, the effects of an operating temperature and a discharge depth DOD on battery service life are considered, and finally, a life model of the power battery in thetime-varying working condition which is closer to the actual working condition is obtained. According to the service life prediction method of the power battery in the time-varying working condition,the accuracy of the service life prediction of the power battery for the vehicle is improved, the battery service life is calculated by the model so that the use, maintenance and replacement of the power battery for the vehicle can be guided, and the safe use of electric vehicles is ensured; and furthermore, the model is simple and easy to calculate, and is beneficial to improving the predictionefficiency.

Description

technical field [0001] The invention relates to the technical field of power batteries, in particular to a method for predicting the life of a power battery under time-varying working conditions. Background technique [0002] In recent years, countries have been actively researching new energy vehicles, and lithium-ion batteries have the characteristics of high energy density, high working voltage, long cycle life, low self-discharge rate and no memory effect, and are used as driving energy in the field of power batteries. more and more. [0003] The development process of lithium-ion power batteries includes electrical performance, core functions, life and safety, and life development is the top priority. During the use of the battery, there are many types of stress that affect its aging, including ambient temperature, humidity, mechanical pressure, radiation, current, voltage, SOC range, etc. Among many factors, the stress that has the main impact on battery aging is the...

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
IPC IPC(8): G01R31/36
Inventor 陆群张雅琨
Owner CH AUTO TECH CORP CO LTD
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