This paper deals with a new adaptive balancing control algorithm for passive and distributed Battery Management System (BMS) for automotive applications. A calibrated first-order model for the battery cells and thermal model of the BMS slaves unit have been considered in the development of the proposed control. It performs the balancing process of the cells by managing the temperature of the BMS slave unit. Taking into account the thermal constraints of the system, the proposed control dynamically selects the number of the cells to be balanced for each battery module and the optimal temperature of the BMS slave units in order to minimize the equalization time. A deep numerical analysis is presented to validate the performance of the proposed approach.
Thermal management optimization of a passive BMS for automotive applications
Abronzini U.;Di Monaco M.;Porpora F.;Tomasso G.;Attaianese C.
2019-01-01
Abstract
This paper deals with a new adaptive balancing control algorithm for passive and distributed Battery Management System (BMS) for automotive applications. A calibrated first-order model for the battery cells and thermal model of the BMS slaves unit have been considered in the development of the proposed control. It performs the balancing process of the cells by managing the temperature of the BMS slave unit. Taking into account the thermal constraints of the system, the proposed control dynamically selects the number of the cells to be balanced for each battery module and the optimal temperature of the BMS slave units in order to minimize the equalization time. A deep numerical analysis is presented to validate the performance of the proposed approach.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
