Offline Multiobjective Optimization for Fast Charging and Reduced Degradation in Lithium-Ion Battery Cells Using Electrochemical Dynamics

Lam, Fredric; Allam, Anirudh; Joe, Won Tae; Choi, Yeonjoo; Onori, Simona

doi:10.1109/lcsys.2020.3046378

Cited by 12 publications

(3 citation statements)

References 16 publications

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“…The PDE aging dynamics (10) is discretized via FDM where a time-varying grid size is used to account for changing the SEI layer thickness [25]. The SEI layer growth is modeled as follows…”

Section: Cell Aging Modelmentioning

confidence: 99%

“…Most of the recent battery control/optimization literature, though, has focused on single cell operation under fast charging. Methods to optimizing longevity under fast charging operation for single cells have been proposed based on model predictive control (MPC) [7], [8], nonlinear programming (NLP) [9], [10] and Control Vector Parameterization (CVP) [11] either using equivalent circuit models or electrochemical models. However, the problem of battery fast charging while preserving its health is a pack-level challenge that needs to be tackled as such.…”

Section: Introductionmentioning

confidence: 99%

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Extending life of Lithium-ion battery systems by embracing heterogeneities via an optimal control-based active balancing strategy

Azimi¹,

Allam²,

Onori³

2022

Preprint

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This paper develops a multi-objective fast charging-minimum degradation optimal control problem (OCP) for lithium-ion battery modules, made of series-connected cells, subject to heterogeneity induced by manufacturing defects and non uniform operating conditions, realized via an active balancing circuitry. Each cell is expressed via a coupled nonlinear electrochemical, thermal, and aging model and the direct collocation approach is employed to transcribe the OCP into a nonlinear programming problem (NLP). The proposed OCP is formulated under two different schemes of charging operation: (i) same-charging-time (OCP-SCT) and (ii) differentcharging-time (OCP-DCT). The former assumes simultaneous charging of all cells irrespective of their initial conditions, whereas the latter allows for different charging times of the cells to account for heterogeneous initial conditions. Simulations on an illustrative case study-a battery module with two seriesconnected cells-are carried out in the presence of intrinsic hetereogeneity among the cells in terms of state of charge and state of health. Results show that the OCP-DCT scheme provides more flexibility to deal with heterogeneity, boasting of lower temperature increase, charging current amplitudes, and degradation. Finally, comparison with the common practice of constant current (CC) charging over a long-term cycling operation shows that promising savings, in terms of retained capacity, are attainable under the new control.

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“…The PDE aging dynamics (10) is discretized via FDM where a time-varying grid size is used to account for changing the SEI layer thickness [25]. The SEI layer growth is modeled as follows…”

Section: Cell Aging Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Extending life of Lithium-ion battery systems by embracing heterogeneities via an optimal control-based active balancing strategy

Azimi¹,

Allam²,

Onori³

2022

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…Charging at a high C-rate allows for fast charging of the battery; however, it causes the internal temperature and voltage of the cell to rise rapidly during charging, which can seriously degrade cell performance. Therefore, optimal charging strategies are required to ensure a long battery life. − …”

Section: Introductionmentioning

confidence: 99%

Advanced Integrated Fast-Charging Protocol for Lithium-Ion Batteries by Considering Degradation

Kim,

Kim

2024

ACS Sustainable Chem. Eng.

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In the modern electric vehicle industry, the fast charging of lithium-ion batteries is essential. Charging at a high Crate minimizes the charging time; however, this results in degradation due to the rapid rise in the temperature and voltage. Therefore, we propose an advanced charging protocol that reflects degradation conditions by integrating multistage constant current-constant voltage and pulse protocols. The proposed protocol was efficiently evaluated using a high-fidelity lithium-ion battery model based on porous electrode theory. However, this model-based optimal protocol design has challenges regarding the expansion of the design space based on the increasing number of parameters and lack of information about the degradation conditions. A Bayesian optimization was applied to perform sample-efficient optimization without using a first-principles model and to incorporate the variability of battery cells into a stochastic prediction model. The charging protocol design guidelines identified in the nai ̈ve design space are used as prior knowledge to improve the efficiency of charging protocol design considering degradation. As a result, advanced protocols that suppress degradation and allow for minimized charging times compared to reference protocols (i.e., multistage constant current-constant voltage) are given as a Pareto front.

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Design and validation of synthetic duty cycles for grid energy storage dispatch using lithium-ion batteries

Moy

Lee

Harris

et al. 2021

Advances in Applied Energy

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Offline Multiobjective Optimization for Fast Charging and Reduced Degradation in Lithium-Ion Battery Cells Using Electrochemical Dynamics

Cited by 12 publications

References 16 publications

Extending life of Lithium-ion battery systems by embracing heterogeneities via an optimal control-based active balancing strategy

Extending life of Lithium-ion battery systems by embracing heterogeneities via an optimal control-based active balancing strategy

Advanced Integrated Fast-Charging Protocol for Lithium-Ion Batteries by Considering Degradation

Design and validation of synthetic duty cycles for grid energy storage dispatch using lithium-ion batteries

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