Innovative method for state of energy estimation based on improved Cubature Kalman filter Article Swipe
Xinan Zhou
,
Sida Zhou
,
Qiangwei Li
,
Zhiwei Fan
,
Yang Hua
,
Shichun Yang
,
Yulong Shao
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1088/1742-6596/1754/1/012069
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1088/1742-6596/1754/1/012069
As the increasing concern of driving ranges for electric vehicles, the precision of state of energy (SOE) estimation contributes to the better performance of battery management. In this article, an innovative method based on 5th-order simplex square-radius cubature Kalman filter is developed to achieve the precise and robust estimation for SOE on electric vehicles. Based on second-order equivalent circuit model and particle-swarm-optimization algorithm, the implementation helps the validation of SOE estimation. The max error of SOE estimation under stable condition is less than 3%, and that for dynamic stress test condition is under 4%. Moreover, the robustness is investigated based on diverse deviations on initialization, delivering the future potential applications on embedded system on cloud-controlling.
Related Topics
Concepts
Kalman filter
Initialization
Robustness (evolution)
Computer science
Particle swarm optimization
Estimation
State of charge
Control theory (sociology)
Algorithm
Engineering
Battery (electricity)
Artificial intelligence
Biochemistry
Control (management)
Power (physics)
Systems engineering
Gene
Quantum mechanics
Programming language
Physics
Chemistry
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1088/1742-6596/1754/1/012069
- OA Status
- diamond
- Cited By
- 2
- References
- 20
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3129663387
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3129663387Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1088/1742-6596/1754/1/012069Digital Object Identifier
- Title
-
Innovative method for state of energy estimation based on improved Cubature Kalman filterWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2021Year of publication
- Publication date
-
2021-02-01Full publication date if available
- Authors
-
Xinan Zhou, Sida Zhou, Qiangwei Li, Zhiwei Fan, Yang Hua, Shichun Yang, Yulong ShaoList of authors in order
- Landing page
-
https://doi.org/10.1088/1742-6596/1754/1/012069Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1088/1742-6596/1754/1/012069Direct OA link when available
- Concepts
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Kalman filter, Initialization, Robustness (evolution), Computer science, Particle swarm optimization, Estimation, State of charge, Control theory (sociology), Algorithm, Engineering, Battery (electricity), Artificial intelligence, Biochemistry, Control (management), Power (physics), Systems engineering, Gene, Quantum mechanics, Programming language, Physics, ChemistryTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
2Total citation count in OpenAlex
- Citations by year (recent)
-
2023: 2Per-year citation counts (last 5 years)
- References (count)
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20Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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