Abstract

Uncertainty quantification in LIB manufacturing has received interest in order to improve the reliability of LIB. The uncertainty generated during the manufacturing causes variations in the performance of LIBs, thereby increasing capacity degradation and leading to failure. In this study, a reliability-based design optimization (RBDO) of LIBs is conducted to reduce performance failure while maximizing the specific energy. The design variables with uncertainty are the thickness, porosity, and particle size of the anode and cathode. The specific energy is defined as the objective function in the optimization design problem. To maintain the specific power in the initial design of the LIB, it is defined as the constraint function. Reliability is evaluated as the probability that the battery satisfies the performance of the required design. The results indicate that the design optimized through RBDO increases the specific energy by 42.4% in comparison with that of the initial design while reducing the failure rate to 1.53%. Unlike the conventional deterministic design optimization method (DDO), which exhibits 55.09% reliability, the proposed RBDO method ensures 98.47% reliability. It is shown that the proposed RBDO approach is an effective design method to reduce the failure rate while maximizing the specific energy.

Highlights

  • Strict reinforcement of environmental regulations has increased the use of lithium-ion batteries (LIBs), which can be charged and discharged conveniently, as energy storage devices for eco-friendly electric vehicles [1,2]

  • Applying the reliability-based design optimization (RBDO) method to the LIB improves the performance and reduces the performance failure

  • The porosity of the anode and cathode deto 0.246 and 0.201, respectively, which increased the amount of active material and specific creased to 0.246 and 0.201, respectively, which increased the amount of active material energy [32]

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Summary

Introduction

Strict reinforcement of environmental regulations has increased the use of lithium-ion batteries (LIBs), which can be charged and discharged conveniently, as energy storage devices for eco-friendly electric vehicles [1,2]. LIB is an energy storage device that converts chemical energy directly into electrical energy and exhibits several advantages, such as high energy, power, voltage, and long lifespan. It is essential to develop a new material to increase the energy and power of LIB, another effective method is optimizing the design variables of currently used LIB cells. As manufacturing uncertainty may cause variation in the performance of LIBs and affect the safety of battery packs [7,8,9], manufacturing uncertainty must be considered during the design process

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