A State of Charge Estimation Method for Lithium‐Ion Battery Using PID Compensator‐Based Adaptive Extended Kalman Filter Article Swipe
Zheng Liu
,
Yuan Qiu
,
Chunshan Yang
,
Jianbo Ji
,
Zhenhua Zhao
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1155/2021/6665509
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1155/2021/6665509
With the widespread application of electric vehicles, the study of the power lithium‐ion battery (LIB) has broad prospects and great academic significance. The state of charge (SOC) is one of the key parts in battery management system (BMS), which is used to provide guarantee for the safe and efficient operation of LIB. To obtain the reliable SOC estimation result under the influence of simple model and measurement noise, a novel estimation method with adaptive feedback compensator is presented in this paper. The simplified dynamic external electrical characteristic of LIB is represented by the one‐order Thevenin equivalent circuit model (ECM) and then the ECM parameters are identified by the forgetting factor recursive least squares method (FFRLS). Fully taking into account the feedback effect of terminal voltage innovation, the combination of adaptive extended Kalman filter (AEKF) and innovation vector‐based proportional‐integral‐derivative (PID) feedback is proposed to estimate the LIB SOC. The common single proportional feedback of Kalman filter (KF) is replaced by the innovation vector‐based PID feedback, which means that the multiple prior terminal voltage innovation is used in the measurement correction step of KF. The results reveal that the AEKF with PID feedback compensation strategy can improve the SOC estimation performance compared with the common AEKF, and it reveals good robust capability and rapid convergence speed for initial SOC errors. The maximum absolute error and average absolute error for SOC estimation are close to 4% and 2.6%, respectively.
Related Topics
Concepts
Control theory (sociology)
PID controller
Thévenin's theorem
Computer science
Kalman filter
Recursive least squares filter
State of charge
Extended Kalman filter
Compensation (psychology)
Battery (electricity)
Power (physics)
Voltage
Equivalent circuit
Engineering
Control engineering
Algorithm
Adaptive filter
Physics
Control (management)
Electrical engineering
Artificial intelligence
Psychoanalysis
Temperature control
Psychology
Quantum mechanics
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1155/2021/6665509
- https://downloads.hindawi.com/journals/complexity/2021/6665509.pdf
- OA Status
- gold
- Cited By
- 14
- References
- 33
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3129386074
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W3129386074Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1155/2021/6665509Digital Object Identifier
- Title
-
A State of Charge Estimation Method for Lithium‐Ion Battery Using PID Compensator‐Based Adaptive Extended Kalman FilterWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-01-01Full publication date if available
- Authors
-
Zheng Liu, Yuan Qiu, Chunshan Yang, Jianbo Ji, Zhenhua ZhaoList of authors in order
- Landing page
-
https://doi.org/10.1155/2021/6665509Publisher landing page
- PDF URL
-
https://downloads.hindawi.com/journals/complexity/2021/6665509.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://downloads.hindawi.com/journals/complexity/2021/6665509.pdfDirect OA link when available
- Concepts
-
Control theory (sociology), PID controller, Thévenin's theorem, Computer science, Kalman filter, Recursive least squares filter, State of charge, Extended Kalman filter, Compensation (psychology), Battery (electricity), Power (physics), Voltage, Equivalent circuit, Engineering, Control engineering, Algorithm, Adaptive filter, Physics, Control (management), Electrical engineering, Artificial intelligence, Psychoanalysis, Temperature control, Psychology, Quantum mechanicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
14Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 2, 2024: 4, 2023: 4, 2022: 3, 2021: 1Per-year citation counts (last 5 years)
- References (count)
-
33Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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