In this paper, an approach is proposed to estimate the open-circuit voltage of a battery – and consequently the battery State-of-Charge during normal operation of electric vehicles – by only measuring the charge/discharge current and the voltage on the load. The result is achieved, without any knowledge of the characteristic values of the battery model, by combining a system embedding with a high-gain observer design strategy. Interestingly, the method is based on genuinely nonlinear estimation strategies, hence it does not suffer the typical drawbacks of linear approaches, including the requirement for persistence of excitation of the charge/discharge current.

Carnevale, D., Possieri, C., Sassano, M. (2019). State-of-charge estimation for lead–acid batteries via embeddings and observers. CONTROL ENGINEERING PRACTICE, 85, 132-137 [10.1016/j.conengprac.2019.01.011].

State-of-charge estimation for lead–acid batteries via embeddings and observers

Carnevale D.;Possieri C.;Sassano M.
2019-01-01

Abstract

In this paper, an approach is proposed to estimate the open-circuit voltage of a battery – and consequently the battery State-of-Charge during normal operation of electric vehicles – by only measuring the charge/discharge current and the voltage on the load. The result is achieved, without any knowledge of the characteristic values of the battery model, by combining a system embedding with a high-gain observer design strategy. Interestingly, the method is based on genuinely nonlinear estimation strategies, hence it does not suffer the typical drawbacks of linear approaches, including the requirement for persistence of excitation of the charge/discharge current.
2019
Pubblicato
Rilevanza internazionale
Articolo
Esperti anonimi
Settore ING-INF/04 - AUTOMATICA
English
Con Impact Factor ISI
Algebraic geometry,High-gain observers,Nonlinear systems,Observer design,State-of-charge,System embeddings
Carnevale, D., Possieri, C., Sassano, M. (2019). State-of-charge estimation for lead–acid batteries via embeddings and observers. CONTROL ENGINEERING PRACTICE, 85, 132-137 [10.1016/j.conengprac.2019.01.011].
Carnevale, D; Possieri, C; Sassano, M
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/211791
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