Improve the Initial Π Hidden Markov Model to Predict the Battery Health
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...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Harbin University of Science and Technology Publications
2017-12-01
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| Series: | Journal of Harbin University of Science and Technology |
| Subjects: | |
| Online Access: | https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=1450 |
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| Summary: | 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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| ISSN: | 1007-2683 |