scholarly journals An Adaptive Rapid Charging Method for Lithium-Ion Batteries with Compensating Cell Degradation Behavior

2018 ◽  
Vol 8 (8) ◽  
pp. 1251 ◽  
Author(s):  
Dong-Rak Kim ◽  
Jin-Wook Kang ◽  
Tae-Ho Eom ◽  
Jun-Mo Kim ◽  
Jeong Lee ◽  
...  
Keyword(s):  
Cell Cycle ◽  
Lithium Ion ◽  
Cycle Life ◽  
Degradation Behavior ◽  
Cycle Number ◽  
Cell Life ◽  
Fast Charging ◽  
Recent Developments ◽  
Preliminary Study ◽  
Battery Module

Recent developments in high-density lithium-ion battery technologies have greatly expanded the electric vehicle (EV) market. Due to the fact that the rapid charging of an EV battery pack while maintaining a suitable cell cycle life is necessary for further growth of the EV market, we herein propose an innovative adaptive rapid charging pattern that minimizes cell degradation and reflects the degradation characteristics. This technology is advantageous in that cells can be developed by analyzing the charging characteristics in the latter stages of cell development of the rapid charging pattern, while also considering the complexity and heterogeneity of the manufacturing process. Furthermore, the battery charging pattern is optimized and controlled in real-time by reflecting the characteristics of the battery module and pack degradation as the cycle number is increased. More specifically, we present a preliminary study that simplifies the implementation of the new optimization pattern to improve the cell cycle life by over 45% in comparison to conventional fast charging patterns, and to address the drop in capacity in the latter half of cell life during rapid charging.

Extended Cycle Life Implications of Fast Charging for Lithium-Ion Battery Cathode

2021 ◽  
Author(s):  
Tanvir R. Tanim ◽  
Zhenzhen Yang ◽  
Andrew M. Colclasure ◽  
Parameswara R. Chinnam ◽  
Paul Gasper ◽  
...  
Keyword(s):  
Lithium Ion Battery ◽  
Lithium Ion ◽  
Cycle Life ◽  
Fast Charging ◽  
Extended Cycle

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

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.

(Keynote) 10-Minute Fast Charging of High Energy Density Lithium-Ion Batteries with Superior Cycle Life

2020 ◽  
Vol MA2020-02 (3) ◽  
pp. 629-629
Author(s):  
Xiao-Guang Yang ◽  
Teng Liu ◽  
Shanhai Ge ◽  
Chao-Yang Wang
Keyword(s):  
Energy Density ◽  
Lithium Ion Batteries ◽  
Lithium Ion ◽  
High Energy ◽  
Cycle Life ◽  
High Energy Density ◽  
Fast Charging

A Thermal Design and Experimental Investigation for the Fast Charging Process of a Lithium-Ion Battery Module With Liquid Cooling

2019 ◽  
Vol 17 (2) ◽  
Author(s):  
Siqi Chen ◽  
Nengsheng Bao ◽  
Xiongbin Peng ◽  
Akhil Garg ◽  
Zhanglin Chen
Keyword(s):  
Energy Consumption ◽  
Standard Deviation ◽  
Temperature Distribution ◽  
Lithium Ion Battery ◽  
Experimental Validation ◽  
Lithium Ion ◽  
Maximum Temperature ◽  
Fast Charging ◽  
Temperature Standard ◽  
Battery Module

Abstract The appropriate temperature distribution is indispensable to lithium-ion battery module, especially during the fast charging of the sudden braking process. Thermal properties of each battery cell are obtained from numerical heat generation model and experimental data, and the deviation of thermophysical performance is analyzed by K-means clustering and hierarchical clustering to select battery cells with similar performance. Thermal performance of lithium-ion cells under different charging rates is investigated in experiments and the effects of different mini-channel designs discussed using numerical simulation, maximum temperature, maximum pressure, and temperature standard deviation are compared by both numerical calculation and experimental validation. Two kinds of cooling plates are selected, considering the uniformity of temperature distribution and energy consumption, respectively. All of these cooling plate designs have the ability to constrain the maximum temperature and temperature standard deviation within 306 K and 1.2 K, respectively. Additionally, this thermal management system does not need too much energy consumption. In experimental validation, deviation of maximum temperature is measured to be within 2.2 K and difference of temperature standard deviation is also within tolerance.

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