共 42 条
[1]
A new method to estimate the state of charge of lithium-ion batteries based on the battery impedance model.[J].Jun Xu;Chunting Chris Mi;Binggang Cao;Junyi Cao.Journal of Power Sources.2013,
[2]
Using probability density function to evaluate the state of health of lithium-ion batteries.[J].Xuning Feng;Jianqiu Li;Minggao Ouyang;Languang Lu;Jianjun Li;Xiangming He.Journal of Power Sources.2013,
[3]
A review on lithium-ion battery ageing mechanisms and estimations for automotive applications.[J].Anthony Barré;Benjamin Deguilhem;Sébastien Grolleau;Mathias Gérard;Frédéric Suard;Delphine Riu.Journal of Power Sources.2013,
[4]
Health diagnosis and remaining useful life prognostics of lithium-ion batteries using data-driven methods.[J].Adnan Nuhic;Tarik Terzimehic;Thomas Soczka-Guth;Michael Buchholz;Klaus Dietmayer.Journal of Power Sources.2013,
[5]
On-board state-of-health monitoring of lithium-ion batteries using linear parameter-varying models.[J].Jürgen Remmlinger;Michael Buchholz;Thomas Soczka-Guth;Klaus Dietmayer.Journal of Power Sources.2013,
[6]
Advanced mathematical methods of SOC and SOH estimation for lithium-ion batteries.[J].Dave Andre;Christian Appel;Thomas Soczka-Guth;Dirk Uwe Sauer.Journal of Power Sources.2013,
[7]
Extension of physics-based single particle model for higher charge–discharge rates.[J].Saeed Khaleghi Rahimian;Sean Rayman;Ralph E. White.Journal of Power Sources.2013,
[8]
State of health detection for Lithium ion batteries in photovoltaic system.[J].K.M. Tsang;W.L. Chan.Energy Conversion and Management.2013, Jan.
[9]
Behavior and state-of-health monitoring of Li-ion batteries using impedance spectroscopy and recurrent neural networks.[J].Akram Eddahech;Olivier Briat;Nicolas Bertrand;Jean-Yves Delétage;Jean-Michel Vinassa.International Journal of Electrical Power and Energy Systems.2012, 1

