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Jian Liu et al.
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Xueying Zheng et al.
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Xu Zhang et al.
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A novel Gaussian process regression model for state-of-health estimation of lithium-ion battery using charging curve
Duo Yang et al.
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A review of state of health and remaining useful life estimation methods for lithium-ion battery in electric vehicles: Challenges and recommendations
M. S. Hossain Lipu et al.
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Random forest regression for online capacity estimation of lithium-ion batteries
Yi Li et al.
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Xiao Ma et al.
ADVANCES IN MATERIALS, MACHINERY, ELECTRONICS II (2018)
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Yuchen Song et al.
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Hicham Chaoui et al.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2017)
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Jinsong Yu et al.
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Zhenpo Wang et al.
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A multi-timescale estimator for battery state of charge and capacity dual estimation based on an online identified model
Zhongbao Wei et al.
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A novel state of health estimation method of Li-ion battery using group method of data handling
Ji Wu et al.
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Soichiro Torai et al.
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Yapeng Zhou et al.
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M. Berecibar et al.
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A novel multistage Support Vector Machine based approach for Li ion battery remaining useful life estimation
Meru A. Patil et al.
APPLIED ENERGY (2015)
Online identification of lithium-ion battery parameters based on an improved equivalent-circuit model and its implementation on battery state-of-power prediction
Tianheng Feng et al.
JOURNAL OF POWER SOURCES (2015)
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Guangxing Bai et al.
APPLIED ENERGY (2014)
A support vector machine-based state-of-health estimation method for lithium-ion batteries under electric vehicle operation
Verena Klass et al.
JOURNAL OF POWER SOURCES (2014)
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Hong Li et al.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS (2014)
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Habiballah Rahimi-Eichi et al.
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Adnan Nuhic et al.
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Hongwen He et al.
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Jonghoon Kim et al.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2011)
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Saeed Khaleghi Rahimian et al.
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