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Optimal design of the lithium-ion battery system through the multi-objective optimization framework
Liu, Changhong
Liu, Changhong
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Abstract
The development of lithium-ion batteries (LIBs) over the last few decades has had a great impact on modern society. Because of LIBs, wireless electronic devices and electric vehicles (EVs) are possible. However, LIBs still face many challenges such as degradation, long charging times, and thermal runaway. LIBs with a shorter charging time, improved safety, and improved longevity are needed to ensure continual development of wireless electronic devices and EVs. To meet these requirements, the design and control of LIBs need to be optimized, which will allow the capabilities of LIBs to be fully exploited. Numerical modeling and optimization that consider physics-based constraints are powerful tools and represent efficient approaches for selecting a preferred design and control strategy. In this dissertation, numerical modeling and optimization are used to investigate and optimize a LIB at the battery pack level, the cell level, and the control level. The work described in this dissertation was performed in order to gain a comprehensive understanding and new insights into how to address the existing challenges of long charging times and degradation. Battery packs are formed by connecting single cells in serial and parallel. For electronic devices or electric vehicles, the number of batteries determines the desired capacity, power, and longevity. Design optimization is carried out on a number of battery cells in a battery pack that takes into consideration the weight, cost, power, capacity, and overall performance. The design of LIB electrodes at the cell level has been studied in detail. Design optimization of electrode thickness, the radius of active materials, and electrode porosity has been conducted that took into consideration output capacity, specific power, long-term performance, and fast charging performance. Design optimization at the control level focuses on how a battery is used. Charging and discharging currents have been extensively investigated in order to reduce degradation, reduce charging time, monitor temperature increases, and to satisfy other requirements of systems in which the battery is applied. Thorough insights were obtained that suggest potential improvements to the existing battery design and control strategies. The methods and results from this work may provide tools to researchers that can be used to better understand and improve the performance of LIBs, which could ultimately improve the longevity and safety of wireless electronic devices and EVs.
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Date
2020-01-01
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University of Kansas
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This item contains archived web content.
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Liu_ku_0099D_16972_DATA_1.pdf
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Keywords
Engineering, Engineering, battery fast charging, battery modeling, battery optimization, battery simulation, electric vehicles, Lithium ion batteries