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Development of Accurate Lithium-Ion Battery Model Based on Adaptive Random Disturbance PSO Algorithm
Joint Authors
Li, Lingling
Kai, Huang
Yong-Fang, Guo
Zhi-Gang, Li
Lin, Hsiung-Cheng
Source
Mathematical Problems in Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-07-03
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
The performance behavior of the lithium-ion battery can be simulated by the battery model and thus applied to a variety of practical situations.
Although the particle swarm optimization (PSO) algorithm has been used for the battery model development, it is usually unable to find an optimal solution during the iteration process.
To resolve this problem, an adaptive random disturbance PSO algorithm is proposed.
The optimal solution can be updated continuously by obtaining a new random location around the particle’s historical optimal location.
There are two conditions considered to perform the model process.
Initially, the test operating condition is used to validate the model effectiveness.
Secondly, the verification operating condition is used to validate the model generality.
The performance results show that the proposed model can achieve higher precision in the lithium-ion battery behavior, and it is feasible for wide applications in industry.
American Psychological Association (APA)
Kai, Huang& Yong-Fang, Guo& Zhi-Gang, Li& Lin, Hsiung-Cheng& Li, Lingling. 2018. Development of Accurate Lithium-Ion Battery Model Based on Adaptive Random Disturbance PSO Algorithm. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1207131
Modern Language Association (MLA)
Kai, Huang…[et al.]. Development of Accurate Lithium-Ion Battery Model Based on Adaptive Random Disturbance PSO Algorithm. Mathematical Problems in Engineering No. 2018 (2018), pp.1-13.
https://search.emarefa.net/detail/BIM-1207131
American Medical Association (AMA)
Kai, Huang& Yong-Fang, Guo& Zhi-Gang, Li& Lin, Hsiung-Cheng& Li, Lingling. Development of Accurate Lithium-Ion Battery Model Based on Adaptive Random Disturbance PSO Algorithm. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1207131
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1207131