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EnglishThis paper presents a fast and effective approach to evaluate the heat generation of a Li-ion battery system. The thermal characterization of Li-ion batteries is a relevant topic for the correct monitoring of the battery pack. In particular, a reduced-order model, that estimates the thermal dynamics of a Li-ion battery cell, is reported. The proposed approach relies on the definition of a boundary-value problem for heat conduction, in the form of a linear partial differential equation with the integration of Equivalent Circuit Model. The model is based on the double polarization Thévenin equivalent circuit model since it represents an optimal trade-off between accuracy and computation effort, which justifies its implementation in a Battery Management System (BMS) for automotive real-time monitoring and control. The resulting model predicts the temperature dynamics at the external surface in relation with the rate of the internal heat generation. In this paper, the model is applied to estimate the temperature of a cylindrical cell during a discharging transient and it uses electrical data acquired from experimental tests and is validated Computational fluid dynamics simulation. The results of the test are suitable for the future implementation of a proper algorithm for State of Charge SOC and State of Health SOH estimations.
Dynamic Electro-Thermal Li-ion Battery Model for Control Algorithms / Rizzello, A.; Scavuzzo, S.; Ferraris, A.; Airale, A. G.; Carello, M.. - ELETTRONICO. - (2020), pp. 1-6. ((Intervento presentato al convegno 12th AEIT International Annual Conference, AEIT 2020 tenutosi a ita nel 2020 [10.23919/AEIT50178.2020.9241107].
| Titolo: | Dynamic Electro-Thermal Li-ion Battery Model for Control Algorithms | |
| Autori: | ||
| Data di pubblicazione: | 2020 | |
| Abstract: | This paper presents a fast and effective approach to evaluate the heat generation of a Li-ion bat...tery system. The thermal characterization of Li-ion batteries is a relevant topic for the correct monitoring of the battery pack. In particular, a reduced-order model, that estimates the thermal dynamics of a Li-ion battery cell, is reported. The proposed approach relies on the definition of a boundary-value problem for heat conduction, in the form of a linear partial differential equation with the integration of Equivalent Circuit Model. The model is based on the double polarization Thévenin equivalent circuit model since it represents an optimal trade-off between accuracy and computation effort, which justifies its implementation in a Battery Management System (BMS) for automotive real-time monitoring and control. The resulting model predicts the temperature dynamics at the external surface in relation with the rate of the internal heat generation. In this paper, the model is applied to estimate the temperature of a cylindrical cell during a discharging transient and it uses electrical data acquired from experimental tests and is validated Computational fluid dynamics simulation. The results of the test are suitable for the future implementation of a proper algorithm for State of Charge SOC and State of Health SOH estimations. | |
| ISBN: | 978-8-8872-3747-4 | |
| Appare nelle tipologie: | 4.1 Contributo in Atti di convegno |
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| Paper_AEIT_Carello_NoFormat.pdf | Articolo Principale | 2. Post-print / Author's Accepted Manuscript |  | Visibile a tuttiVisualizza/Apri |
http://hdl.handle.net/11583/2910412
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