Monitoring State of Charge battery cells is necessary for all the most common batteries to avoid damages and to extend lifetime. State of Charge must be estimated since it can not be directly measured on the cell. Among all developed techniques, Equivalent Circuit Models is one of the most interesting and it is based on modeling the behavior of the electric components of the cell. However, a real-time parameter estimation is necessary, due to the change of them during the battery life. FPGA is first choice for these applications, for its flexibility and hardware reconfigurability. Traditionally, FPGA is configured with a synthetized Hardware Description Language, HDL, but this process can be time consuming depending on the model complexity. In this paper, a Simulink model-based design for a Li-Ion cell parameters identification is presented. This approach together to HDL Coder Simulink tool, assures higher code portability and short time to market.

HDL Code Generation from SIMULINK Environment for Li-Ion Cells State of Charge and Parameter Estimation / Stighezza, Mattia; Bianchi, Valentina; De Munari, Ilaria. - 738:(2021), pp. 136-143. [10.1007/978-3-030-66729-0_16]

HDL Code Generation from SIMULINK Environment for Li-Ion Cells State of Charge and Parameter Estimation

Stighezza, Mattia;Bianchi, Valentina;De Munari, Ilaria
2021-01-01

Abstract

Monitoring State of Charge battery cells is necessary for all the most common batteries to avoid damages and to extend lifetime. State of Charge must be estimated since it can not be directly measured on the cell. Among all developed techniques, Equivalent Circuit Models is one of the most interesting and it is based on modeling the behavior of the electric components of the cell. However, a real-time parameter estimation is necessary, due to the change of them during the battery life. FPGA is first choice for these applications, for its flexibility and hardware reconfigurability. Traditionally, FPGA is configured with a synthetized Hardware Description Language, HDL, but this process can be time consuming depending on the model complexity. In this paper, a Simulink model-based design for a Li-Ion cell parameters identification is presented. This approach together to HDL Coder Simulink tool, assures higher code portability and short time to market.
2021
978-3-030-66728-3
978-3-030-66729-0
HDL Code Generation from SIMULINK Environment for Li-Ion Cells State of Charge and Parameter Estimation / Stighezza, Mattia; Bianchi, Valentina; De Munari, Ilaria. - 738:(2021), pp. 136-143. [10.1007/978-3-030-66729-0_16]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11381/2887049
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