Electric Vehicles Batteries Modeling Analysis Based on a Multiple Layered Perceptron Identification Approach Fundação Centro de Pesquisa e Desenvolvimento em Telecomun

Format:

Conference/Event

Author/Creator:

dos Santos, dos Santos, author.

Contributor:

de Fátima Negreli Campos Rosolem, Maria

de Sousa, Thais Tóssoli

de Tarso Peres, Paulo

França, Alex Pereira

Conference Name:

24th SAE Brasil International Congress and Display (2015-09-22 : Sao Paulo, Brazil)

Language:

English

Physical Description:

1 online resource

Place of Publication:

Warrendale, PA SAE International 2015

Summary:

AbstractA reliable battery state estimation management system in electric vehicles greatly depends on the validity and generalizability of battery models. This paper presents a Li-ion and Lead Acid batteries neural model. This model does not consider battery details, bringing universality, which is suitable for parameters estimation of all battery kinds. The final model proposes describe the dynamic contributions due to open-circuit voltage, polarization time constants, electrochemical hysteresis, effects of temperature, state of charge and state of health

Notes:

Vendor supplied data

Publisher Number:

2015-36-0142

Access Restriction:

Restricted for use by site license