Model Predictive Control for Lithium-Ion Battery Optimal Charging
Artikel i vetenskaplig tidskrift, 2017

Charging time and lifetime are important performances for lithium-ion (Li-ion) batteries, but are often competing objectives for charging operations. Model-based charging controls are challenging due to the complicated battery system structure that is composed of nonlinear partial differential equations and exhibits multiple time-scales. This paper proposes a new methodology for battery charging control enabling an optimal tradeoff between the charging time and battery state-of-health (SOH). Using recently developed model reduction approaches, a physics-based low-order battery model is first proposed and used to formulate a model-based charging strategy. The optimal fast charging problem is formulated in the framework of tracking model predictive control (MPC). This directly considers the tracking performance for provided state-of-charge and SOH references, and explicitly addresses constraints imposed on input current and battery internal state. The capability of this proposed charging strategy is demonstrated via simulations to be effective in tracking the desirable SOH trajectories. By comparing with the constant-current constant-voltage charging protocol, the MPC-based charging appears promising in terms of both the charging time and SOH. In addition, this obtained charging strategy is practical for real-time implementation.

model predictive control (MPC)

state-of-charge (SOC)

Lithium-ion battery

state-of-health (SOH)

Battery fast charging

Författare

Changfu Zou

Chalmers, Signaler och system, System- och reglerteknik, Reglerteknik

Chris Manzie

University of Melbourne

Dragan Nesic

University of Melbourne

IEEE/ASME Transactions on Mechatronics

1083-4435 (ISSN)

Vol. 23 2 947-957

Ämneskategorier

Beräkningsmatematik

Reglerteknik

Datavetenskap (datalogi)

DOI

10.1109/TMECH.2018.2798930

Mer information

Senast uppdaterat

2018-08-20