Electric Vehicles Batteries Modeling Analysis Based on a Multiple Layered Perceptron Identification Approach
Konferenz: PCIM Europe 2016 - International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management
10.05.2016 - 12.05.2016 in Nürnberg, Deutschland
Tagungsband: PCIM Europe 2016
Seiten: 7Sprache: EnglischTyp: PDF
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Autoren:
Rocha dos Santos, Sender; Sousa, Thais Tossoli de; Franca, Alex Pereira (CPqD, Campinas, SP, Brazil)
Inhalt:
A artificial neural network model of electric vehicles batteries to estimate the State of Charge (SoC) and State of Health (SoH) is presented. Two types of cells are investigated, lithium-ion and lead acid, confirming the versatility of the technique studied. Additionally, experimental case study results indicated outperforming, accuracy and fast convergence performance and robustness of the developed battery model free.