|Table of Contents|

 Improve the Initial Π Hidden Markov Model to Predict the Battery Health(PDF)

《哈尔滨理工大学学报》[ISSN:1007-2683/CN:23-1404/N]

Issue:
2017年06期
Page:
33-38
Research Field:
材料科学与工程
Publishing date:

Info

Title:
 Improve the Initial Π Hidden Markov Model to Predict the Battery Health
Author(s):
 YAN Jing-bin WANG Fei XIA Sai
School of Electrical and Electronic Engineering,Harbin University of Science and Technology,Harbin 150080,China)
Keywords:
 lithium ion battery hidden markov model the recession recession performance charge-discharge
experiments
remaining life prediction
PACS:
TM206
DOI:
10. 15938 /j. jhust. 2017. 06. 007
Abstract:
 Aiming at the problem of difficult to measure the remaining life of lithium-ion batteries used in
electric cars,combined with factors that affect the battery life of recession,we improve initial value hidden markov
model to forecast the lithium ion battery life decline,and the prediction method is given. In this paper we take
18650 lithium-ion battery as the research object,first of all through the experimental results are obtained that the
main factors which are related to the decline of the battery life,and then according to charge and discharge the
discharge voltage curve,the concept of the critical point of the discharge platform was proposed. Finally,the
establishment of building improve initial value hidden markov model predicted the downturn with the experimental
data,performance analysis of the decline of the attenuation of the battery capacity,the concept of recession
performance coefficient used to predict the remaining life of the battery from the experimental data by combining
batteries before the recession to predict the battery remaining battery life. Theoretical analysis and experimental
results show that the model can predict the remaining life of the battery,and the prediction accuracy is 2. 06%.

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Last Update: 2018-03-10