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Electrothermal dynamics-conscious lithium-ion battery cell-level charging management via state-monitored predictive control

Changfu Zou (Institutionen för elektroteknik, Reglerteknik) ; Xiaosong Hu ; Zhongbao Wei ; Xiaolin Tang
Energy (03605442). Vol. 141 (2017), p. 250-259.
[Artikel, refereegranskad vetenskaplig]

Lithium-ion battery charging management has become an enabling technology towards a paradigm shift of electrified mobility. Fast charging is desired for convenience improvements but may excessively degrade battery's health or even cause safety issues. This paper proposes a novel algorithm to manage battery charging operations using a model-based control approach. Based on a fully coupled electrothermal model, the fast charging strategy is formulated as a linear-time-varying model predictive control problem, for the first time. Constraints are explicitly imposed to protect the battery from overcharging and overheating. To enable the state-feedback control, unmeasurable battery internal states including state-of-charge and core temperature are estimated via a nonlinear observer using noisy measurements of current, voltage, and surface temperature. Illustrative results demonstrate that the proposed approach is able to optimally balance time and temperature increase. In addition, it is shown from simulations that the model predictive control based charging algorithm appears promising for real-time implementation.

Nyckelord: Battery charging control; Electrothermal model; Lithium-ion battery; Model predictive control; State-of-charge estimation

Denna post skapades 2017-12-08.
CPL Pubid: 253639


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Institutioner (Chalmers)

Institutionen för elektroteknik, Reglerteknik


Elektroteknik och elektronik

Chalmers infrastruktur