The SOC Estimation of Power Li-Ion Battery Based on ANFIS Model

Article Properties
Cite
Wu, Tiezhou, et al. “The SOC Estimation of Power Li-Ion Battery Based on ANFIS Model”. Smart Grid and Renewable Energy, vol. 03, no. 01, 2012, pp. 51-55, https://doi.org/10.4236/sgre.2012.31007.
Wu, T., Wang, M., Xiao, Q., & Wang, X. (2012). The SOC Estimation of Power Li-Ion Battery Based on ANFIS Model. Smart Grid and Renewable Energy, 03(01), 51-55. https://doi.org/10.4236/sgre.2012.31007
Wu T, Wang M, Xiao Q, Wang X. The SOC Estimation of Power Li-Ion Battery Based on ANFIS Model. Smart Grid and Renewable Energy. 2012;03(01):51-5.
Refrences
Title Journal Journal Categories Citations Publication Date
10.1109/IJCNN.2006.247175
10.1109/IJCNN.2006.247175
10.1109/IJCNN.2006.247175
10.1109/IJCNN.2006.247175
10.1109/IJCNN.2006.247175
Citations
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  • Technology: Engineering (General). Civil engineering (General)
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Review on state of charge estimation techniques of lithium-ion batteries: A control-oriented approach Journal of Energy Storage
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Citations Analysis
Category Category Repetition
Technology: Engineering (General). Civil engineering (General)14
Social Sciences: Industries. Land use. Labor: Special industries and trades: Energy industries. Energy policy. Fuel trade13
Technology: Environmental technology. Sanitary engineering12
Science: Chemistry8
Technology: Electrical engineering. Electronics. Nuclear engineering: Materials of engineering and construction. Mechanics of materials7
Science: Chemistry: Physical and theoretical chemistry6
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics4
Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks4
Technology: Chemical technology2
Science: Physics2
Science: Physics: Heat: Thermodynamics2
Technology: Electrical engineering. Electronics. Nuclear engineering: Production of electric energy or power. Powerplants. Central stations2
Technology: Engineering (General). Civil engineering (General): Transportation engineering2
Technology: Electrical engineering. Electronics. Nuclear engineering: Applications of electric power2
Science: Chemistry: General. Including alchemy1
Technology1
Technology: Chemical technology: Chemical engineering1
Technology: Chemical technology: Industrial electrochemistry1
Technology: Mechanical engineering and machinery: Renewable energy sources1
Technology: Engineering (General). Civil engineering (General): Engineering machinery, tools, and implements1
Social Sciences: Industries. Land use. Labor: Management. Industrial management: Technological innovations. Automation1
Science: Mathematics1
Science: Mathematics: Instruments and machines: Electronic computers. Computer science1
Technology: Mechanical engineering and machinery1
The category Technology: Engineering (General). Civil engineering (General) 14 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled A robust state-of-charge estimator for multiple types of lithium-ion batteries using adaptive extended Kalman filter and was published in 2013. The most recent citation comes from a 2024 study titled Sustainable graphene-based energy storage device technology: Materials, methods, Monitoring and digital twin. This article reached its peak citation in 2018, with 4 citations. It has been cited in 22 different journals, 27% of which are open access. Among related journals, the Journal of Power Sources cited this research the most, with 4 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year