Cell quality measurement using cloud computing in case of NiCd/NiMH battery study
Author(s) -
HsiungCheng Lin,
Chao-Wei Wei,
Hongming Chen
Publication year - 2020
Publication title -
advanced composites letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.188
H-Index - 21
eISSN - 2633-366X
pISSN - 0963-6935
DOI - 10.1177/2633366x19898193
Subject(s) - battery (electricity) , microprocessor , cloud computing , computer science , protocol (science) , embedded system , computer hardware , data transmission , real time computing , operating system , pathology , quantum mechanics , medicine , power (physics) , physics , alternative medicine
Currently, 3.6 V 700 mAh NiCd/NiMH battery is the most popular one used in emergency lights or other devices. It is well known that the state of health is related to the battery internal resistance and charging/discharging characteristics. However, the information needed may not be unveiled sufficiently from the manufactory although some certain specifications are provided. To provide users more accurate information, this system proposes an online battery quality measurement system based on two-pulse approach for internal resistance estimation along with long-term charging/discharging life cycle test. The measurement tasks are carried out using the microprocessor that connects with the computer via universal serial bus. Through the data acquisition system, every measured data from the microprocessor can be immediately transmitted to the data server via transmission control protocol/internet protocol. Accordingly, all testing results can be viewed online from the website, and their history record can be also tracked in the database. The experimental results verify that the proposed scheme can perform the quality measurement effectively and accurately.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom