TY - JOUR
T1 - Health-aware battery charging via iterative nonlinear optimal control syntheses
AU - Vu, Minh
AU - Zeng, Shen
AU - Fang, Huazhen
N1 - Funding Information:
This work was supported by the NSF grant CMMI-1933976.
Publisher Copyright:
Copyright © 2020 The Authors. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0)
PY - 2020
Y1 - 2020
N2 - There is an increasing recognition of the critical importance of charging for the safety and life of lithium-ion batteries. This paper proposes a computationally efficient optimal control approach for the problem of real-time charging control. By incorporating specific constraints that must be satisfied during charging, a health-aware operation is promoted. To determine the optimal charging current in the given setup, a recently proposed iterative framework for solving constrained optimal control problems is leveraged. It is found that the resulting optimal charging currents can be expressed in terms of a piecewise-affine time-invariant state feedback law, which results in a high computational efficiency for the optimal control solution.
AB - There is an increasing recognition of the critical importance of charging for the safety and life of lithium-ion batteries. This paper proposes a computationally efficient optimal control approach for the problem of real-time charging control. By incorporating specific constraints that must be satisfied during charging, a health-aware operation is promoted. To determine the optimal charging current in the given setup, a recently proposed iterative framework for solving constrained optimal control problems is leveraged. It is found that the resulting optimal charging currents can be expressed in terms of a piecewise-affine time-invariant state feedback law, which results in a high computational efficiency for the optimal control solution.
KW - Computational methods
KW - Emerging applications in battery control
UR - http://www.scopus.com/inward/record.url?scp=85089583012&partnerID=8YFLogxK
U2 - 10.1016/j.ifacol.2020.12.1759
DO - 10.1016/j.ifacol.2020.12.1759
M3 - Conference article
AN - SCOPUS:85089583012
SN - 2405-8963
VL - 53
SP - 12485
EP - 12490
JO - IFAC-PapersOnLine
JF - IFAC-PapersOnLine
T2 - 21st IFAC World Congress 2020
Y2 - 12 July 2020 through 17 July 2020
ER -