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Comparative Study o...
Comparative Study of the Influence of Open Circuit Voltage Tests on State of Charge Online Estimation for Lithium-Ion Batteries
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- Li, Yuan (författare)
- College of Energy and Power Engineering, Inner Mongolia University of Technology, Hohhot, 010050, China
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- Guo, Hao (författare)
- Soochow Univ, Robot & Microsyst Ctr, Jiangsu Prov Key Lab Adv Robot, Suzhou 215021, Peoples R China.
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- Qi, Fei (författare)
- Soochow Univ, Sch Mech & Elect Engn, Suzhou 215021, Peoples R China.
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- Guo, Zhiping (författare)
- Inner Mongolia Univ Technol, Coll Mech Engn, Hohhot 010050, Peoples R China.
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- Li, Meiying (författare)
- Inner Mongolia Univ Technol, Coll Mech Engn, Hohhot 010050, Peoples R China.
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College of Energy and Power Engineering, Inner Mongolia University of Technology, Hohhot, 010050, China Soochow Univ, Robot & Microsyst Ctr, Jiangsu Prov Key Lab Adv Robot, Suzhou 215021, Peoples R China (creator_code:org_t)
- IEEE, 2020
- 2020
- Engelska.
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Ingår i: IEEE Access. - : IEEE. - 2169-3536. ; 8, s. 17535-17547
- Relaterad länk:
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https://doi.org/10.1...
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- The accurate state of charge (SoC) online estimation is a significant indicator that relates to driving ranges of electric vehicles (EV). The relationship between open circuit voltage (OCV) and SoC plays an important role in SoC estimation for lithium-ion batteries. To compare with the traditional incremental OCV (IO) test and the low current OCV (LO) test, a novel OCV test which combines IO test with LO test (CIL) is proposed in this paper. Based on the reliable parameters online identification of the dual polarization (DP) battery model, two SoC estimation algorithms are compared on the accuracy, robustness and convergence speed for the entire SoC region. Meanwhile, the comparative study of the three OCV-SoC relationships fits by the corresponding OCV tests is discussed in terms of the SoC online estimation under various temperatures. The results show that the adaptive extended Kalman filter (AEKF) algorithm can better improve the accuracy and robustness of SoC estimation than that of the extended Kalman filter (EKF) algorithm. Most importantly, the OCV-SoC relationship obtains from the CIL OCV test method is applied to the AEKF algorithm, which has higher accuracy and better statistical indices of SoC estimation, especially suitable for the low temperature.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering (hsv//eng)
Nyckelord
- Lithium-ion batteries
- state of charge estimation
- open circuit voltage test
- online parameters identification
- adaptive extended Kalman filter algorithm
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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