Random health indicator and shallow neural network based robust capacity estimation for lithium-ion batteries with different fast charging protocols
Energy, vol. 271, pp. 127029
Authors 5
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Qiao Wang Aachen Chair for Electrochemical Energy Conversion and Storage Systems Institute for Power Electronics and Eletrical Drives (ISEA)
Chang'an University · RWTH Aachen University
Affiliation as printed
Chair for Electrochemical Energy Conversion and Storage Systems, Institute for Power Electronics and Eletrical Drives (ISEA), RWTH Aachen University, Aachen, 52062, Germany
National Engineering Research Center for Highway Maintenance Equipment, Chang'an University, Xi'an, Shaanxi, 710064, China
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Min Ye corresponding
Affiliation as printed
National Engineering Research Center for Highway Maintenance Equipment, Chang'an University, Xi'an, Shaanxi, 710064, China
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Affiliation as printed
National Engineering Research Center for Highway Maintenance Equipment, Chang'an University, Xi'an, Shaanxi, 710064, China
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Affiliation as printed
National Engineering Research Center for Highway Maintenance Equipment, Chang'an University, Xi'an, Shaanxi, 710064, China
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Affiliation as printed
National Engineering Research Center for Highway Maintenance Equipment, Chang'an University, Xi'an, Shaanxi, 710064, China
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