A battery sop online estimation method based on pool algorithm

A pool and battery technology, applied in the field of battery SOP online estimation based on the pool algorithm, can solve the problems of unreliable battery power state estimation, unsmooth switching between peak power and continuous power, etc., to achieve wide application range, stable power switching, avoid The effect of frustration

Active Publication Date: 2021-12-17
ZHEJIANG LEAPMOTOR TECH CO LTD
View PDF7 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The invention mainly solves the problems of unreliable battery power state estimation and unsmooth switching between peak power and continuous power in the prior art; it provides an online battery SOP estimation method based on a pool algorithm, and the power estimation is fast and accurate, and the switching between peak power and continuous power changes smooth

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
  • A battery sop online estimation method based on pool algorithm
  • A battery sop online estimation method based on pool algorithm
  • A battery sop online estimation method based on pool algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0055] An online estimation method of battery SOP based on pool algorithm, such as figure 1 shown, including the following steps:

[0056] S1: Read the current SOC value of the battery and the highest cell temperature T through the battery management system max and the minimum cell temperature T min .

[0057] S2: Query the SOC-Temp-SOP map to determine the peak power P p and continuous power P c .

[0058] S21: Query the SOC-Temp-SOP map about peak power, according to the current SOC value and the highest cell temperature T max Obtain the highest temperature peak power P p1 ;According to the current SOC value and the minimum cell temperature T min Obtain the lowest temperature peak power P p2 .

[0059] like figure 2 As shown, regarding the SOC-Temp-SOP map of peak power, the corresponding peak power Pack-Power can be found from the temperature Temp and SOC respectively from the map. Therefore, the highest cell temperature T can be obtained respectively max Corre...

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 discloses a battery SOP online estimation method based on a pool algorithm. In order to overcome the problems of unreliable battery power state estimation and unsmooth switching between peak power and continuous power in the prior art; the present invention includes the following steps: S1: read the current SOC value, maximum cell temperature and minimum cell temperature of the battery; S2 : Query the SOC-Temp-SOP map to determine the peak power and continuous power; S3: Calculate the rated pool size and the difference between real-time power and continuous power according to the peak power, continuous power and demand duration; S4: According to the difference Calculate the size of the available pool; S5: Calculate the output power according to the continuous power and the size of the available pool, and then return to step S1. The invention takes into account the dynamic characteristics of the battery, and can accurately estimate the current state and the power state of the battery in a certain period of time in the future according to the real-time power rapid response; when the power changes, it changes stably at a rated speed, avoiding the frustration of the driver.

Description

technical field [0001] The invention relates to the field of battery management, in particular to an online battery SOP estimation method based on a pool algorithm. Background technique [0002] New energy vehicles have the advantages of low noise, low urban exhaust emissions, simple operation and strong acceleration, and are gradually accepted by people. SOP estimation is one of the key technologies of battery management. It is used to determine the upper limit output power and upper limit input power of the battery. The unreasonable estimation of its value directly affects the acceleration and comfort of the whole vehicle, and it is easy to cause the battery to be overcharged, overdischarged, and reduce the battery life. . [0003] The current methods for estimating SOP in enterprises mainly include: querying the SOC-Temp-SOP map by reading the SOC and temperature values, obtaining peak power and continuous power, and then switching between peak power and continuous power...

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 Patents(China)
IPC IPC(8): G01R31/389G01R31/388G01R31/367
CPCG01R31/389G01R31/388G01R31/367
Inventor 李志飞高科杰宋忆宁
Owner ZHEJIANG LEAPMOTOR TECH 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