An Optimal Fast-Charging Strategy for Lithium-Ion Batteries via an Electrochemical–Thermal Model with Intercalation-Induced Stresses and Film Growth

Optimal fast charging is an important factor in battery management systems (BMS). Traditional charging strategies for lithium-ion batteries, such as the constant current–constant voltage (CC–CV) pattern, do not take capacity aging mechanisms into account, which are not only disadvantageous in the life-time usage of the batteries, but also unsafe. In this paper, we employ the dynamic optimization (DP) method to achieve the optimal charging current curve for a lithium-ion battery by introducing limits on the intercalation-induced stresses and the solid–liquid interface film growth based on an electrochemical–thermal model. Furthermore, the backstepping technique is utilized to control the temperature to avoid overheating. This paper concentrates on solving the issue of minimizing charging time in a given target State of Charge (SoC), while limiting the capacity loss caused by intercalation-induced stresses and film formation. The results indicate that the proposed optimal charging method in this paper offers a good compromise between the charging time and battery aging.

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Surrogate Model Assisted Lithium-Ion Battery Co-Design for Fast Charging and Cycle Life Performances

Volume 11B: 46th Design Automation Conference (DAC) ◽

10.1115/detc2020-22433 ◽

2020 ◽

Author(s):

Tonghui Cui ◽

Zhuoyuan Zheng ◽

Pingfeng Wang

Keyword(s):

Lithium Ion Batteries ◽

Lithium Ion Battery ◽

Lithium Ion ◽

Cycle Life ◽

Design Approach ◽

Design Framework ◽

Coupling Effects ◽

Charging Time ◽

Battery Design ◽

Fast Charging

Abstract As one of the significant enablers of portable devices and electric vehicles, lithium-ion batteries are drawing much attention for their high energy density and low self-discharging rate. A major hindrance to their further development has been the “range anxiety”, that fast-charging of Li-ion battery is not attainable without sacrificing battery life. In the past, much effort has been carried out to resolve such a problem by either improve the battery design or optimize the charging/discharging protocols, while limited work has been done to address the problem simultaneously, or through a control co-design framework, for a system-level optimum. The control co-design framework is ideal for lithium-ion batteries due to the strong coupling effects between battery design and control optimization. The integration of such coupling effects can lead to improved performances as compared with traditional sequential optimization approaches. However, the challenge of implementing such a co-design framework has been updating the dynamics efficiently for design variations. In this study, we optimize the charging time and cycle life of a lithium-ion battery as a control co-design problem. Specifically, the anode volume fraction and particle size, and the corresponding charging current profile are optimized for a minimum charging time with health-management considerations. The battery is modeled as a coupled electro-thermal-aging dynamical system. The design-dependent dynamics is parameterized thru a Gaussian Processes model, that has been trained with high-fidelity multiphysics simulation samples. A nested co-design approach was implemented using direct transcription, which achieves a better performance than the sequential design approach.

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Design of Niobium tungsten oxide/C micro-structured electrode for fast charging lithium-ion batteries

Inorganic Chemistry Frontiers ◽

10.1039/d1qi00587a ◽

2021 ◽

Author(s):

Weiwei Liu ◽

Meng Xu ◽

Menghua Zhu

Keyword(s):

Energy Storage ◽

Tungsten Oxide ◽

Lithium Ion Batteries ◽

Electronic Transport ◽

Electrode Material ◽

Lithium Ion ◽

Maximum Energy ◽

High Rate ◽

Charging Time ◽

Fast Charging

The maximum energy storage in minimum charging time is increasingly important to evaluate the performance of lithium ion batteries (LIBs). High rate electrode material requires high ion and electronic transport...

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