TY - JOUR
T1 - Developing extreme fast charge battery protocols – A review spanning materials to systems
AU - Dufek, Eric J.
AU - Abraham, Daniel P.
AU - Bloom, Ira
AU - Chen, Bor Rong
AU - Chinnam, Parameswara R.
AU - Colclasure, Andrew M.
AU - Gering, Kevin L.
AU - Keyser, Matthew
AU - Kim, Sangwook
AU - Mai, Weijie
AU - Robertson, David C.
AU - Rodrigues, Marco Tulio F.
AU - Smith, Kandler
AU - Tanim, Tanvir R.
AU - Usseglio-Viretta, Francois L.E.
AU - Weddle, Peter J.
N1 - Funding Information:
The authors thank Samuel Gillard from the U.S. Department of Energy for supporting this project. Funding provided by the Vehicle Technologies Office of the U.S. Department of Energy's Office of Energy Efficiency and Renewable Energy under the guidance of the Advanced Battery Cell Research Program (eXtreme fast charge Cell Evaluation of Lithium ion batteries, XCEL). This manuscript has been authored by Battelle Energy Alliance, LLC under Contract No. DE-AC07-05ID14517 for Idaho National Laboratory with the U.S. Department of Energy, the National Renewable Energy Laboratory operated by Alliance for Sustainable Energy, LLC for the U.S. Department of Energy under Contract No. DE-AC36-08GO28308, and by Argonne National Laboratory, which is a U.S. Department of Energy Office of Science Laboratory operated by UChicago Argonne, LLC under Contract No. DE-AC02-06CH11357. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government.
Publisher Copyright:
© 2022 Elsevier B.V.
PY - 2022/4/1
Y1 - 2022/4/1
N2 - Extreme fast charging (XFC) has become a focal research point in the lithium-battery community over the last several years. As adoption of electric vehicles increases, fast charging has become a key driver in enhancing consumer recharge experience. Recently, the research community has made significant improvements in developing charge protocols to support XFC. New charge protocol designs derived using a combination of advanced, physically derived models, and electrochemical and secondary characterization methods, increase charge acceptance and decrease aging. By coordinating these methods and modifying protocols to account for different material constraints, including lithium plating and cathode particle degradation, novel charge protocols have increased the energy accepted during charging by over 25% in 10 min and increased the charge acceptance prior to a constant-voltage step by approximately 3x. Here, we review several charge-protocol advances, aging factors which are enhanced by XFC and advances which will enable adoption of XFC capable vehicles. These advances include implementing machine learning and other detection algorithms to reduce and classify lithium plating, which is known to significantly degrade cell performance and reduce cell life. The review concludes by discussing full-system fast charge requirements, including electric vehicle service equipment needs for implementing XFC protocols.
AB - Extreme fast charging (XFC) has become a focal research point in the lithium-battery community over the last several years. As adoption of electric vehicles increases, fast charging has become a key driver in enhancing consumer recharge experience. Recently, the research community has made significant improvements in developing charge protocols to support XFC. New charge protocol designs derived using a combination of advanced, physically derived models, and electrochemical and secondary characterization methods, increase charge acceptance and decrease aging. By coordinating these methods and modifying protocols to account for different material constraints, including lithium plating and cathode particle degradation, novel charge protocols have increased the energy accepted during charging by over 25% in 10 min and increased the charge acceptance prior to a constant-voltage step by approximately 3x. Here, we review several charge-protocol advances, aging factors which are enhanced by XFC and advances which will enable adoption of XFC capable vehicles. These advances include implementing machine learning and other detection algorithms to reduce and classify lithium plating, which is known to significantly degrade cell performance and reduce cell life. The review concludes by discussing full-system fast charge requirements, including electric vehicle service equipment needs for implementing XFC protocols.
KW - Aging
KW - Charge protocol
KW - Extreme fast charging
KW - Li-ion battery
KW - Machine learning
UR - https://www.scopus.com/pages/publications/85125131406
UR - https://www.mendeley.com/catalogue/ae6ad6a6-4099-3a85-9c74-9475308d9bcf/
U2 - 10.1016/j.jpowsour.2022.231129
DO - 10.1016/j.jpowsour.2022.231129
M3 - Article
AN - SCOPUS:85125131406
SN - 0378-7753
VL - 526
JO - Journal of Power Sources
JF - Journal of Power Sources
M1 - 231129
ER -