Prognostics of lithium-ion batteries based on Dempster–Shafer theory and the Bayesian Monte Carlo method

He, Wei, Williard, Nicholas, Osterman, Michael, Pecht, Michael·2011·Journal of Power Sources

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  85. Cycle life prediction of lithium-ion batteries based on SIR particle filtering
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  86. State Space Models Based Prognostic Methods for Remaining Useful Life Prediction of Rechargeable Batteries
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  87. A Prognostic Approach Based on Particle Filtering and Optimized Tuning Kernel Smoothing
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  90. Prediction of lithium-ion battery capacity and remaining useful life based on characteristic ohmic resistance model
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