Chen Hao, Shen Julia
School of Automotive Engineering, Shanghai University of Engineering Science, Shanghai, P.R. China.
Department of Computer and Information Science, University of Michigan-Dearborn, Dearborn, MI, United States of America.
PLoS One. 2017 Oct 12;12(10):e0185922. doi: 10.1371/journal.pone.0185922. eCollection 2017.
In a world where millions of people are dependent on batteries to provide them with convenient and portable energy, battery recycling is of the utmost importance. In this paper, we developed a new method to sort 18650 Lithium-ion batteries in large quantities and in real time for harvesting used cells with enough capacity for battery reuse. Internal resistance and capacity tests were conducted as a basis for comparison with a novel degradation-based method based on X-ray radiographic scanning and digital image contrast computation. The test results indicate that the sorting accuracy of the test cells is about 79% and the execution time of our algorithm is at a level of 200 milliseconds, making our method a potential real-time solution for reusing the remaining capacity in good used cells.
在一个数百万人依赖电池来提供便捷和便携能源的世界里，电池回收至关重要。在本文中，我们开发了一种新方法，可对18650锂离子电池进行大批量实时分选，以回收具有足够容量可用于电池再利用的废旧电池。进行了内阻和容量测试，作为与基于X射线射线照相扫描和数字图像对比度计算的新型基于降解的方法进行比较的基础。测试结果表明，测试电池的分选准确率约为79%，我们算法的执行时间处于200毫秒的水平，这使得我们的方法成为一种潜在的实时解决方案，可用于再利用性能良好的废旧电池中的剩余容量。
