Abstract
As the residual value of the lead-acid batteries is not effectively evaluated in the current scraping and recycling processes of the lead-acid batteries, the partition around medoids (PAM) clustering algorithm is adopted, and the scraped lead-acid batteries are classified with the changes in the temperature and charge-discharge occurring when the lead-acid batteries are in service as the characteristic parameters. Besides, the validity of the algorithm is validated using 300 lead-acid battery packs to be scrapped at the communication base station, from which the results showed that the residual value of the lead-acid batteries can be effectively distinguished by the partition around medoids algorithm according to the temperature and charge-discharge characteristic parameters.
Original language | English |
---|---|
Article number | 032011 |
Number of pages | 6 |
Journal | Journal of Physics: Conference Series |
Volume | 1549 |
Issue number | 3 |
Early online date | 29 Jun 2020 |
DOIs | |
Publication status | Published - Jun 2020 |
Externally published | Yes |
Event | 2020 International Conference on Environment Science and Advanced Energy Technologies, ESAET 2020 - Chongqing, China Duration: 18 Jan 2020 → 19 Jan 2020 |
Bibliographical note
Publisher Copyright:© Published under licence by IOP Publishing Ltd.