Research on Module Design of PSD Big Data Platform

• Main Authors: Chen, Li-You, Wu, Shinn-Dar, Huang, Hao-Jian, Chen, Xiang-Ting, Jiang, Wei-Xin, Lin, Yea-Chyi, Yang, Yu-Lin
• Format: Conference Proceeding
• Language: English
• Subjects: Big Data; Big Data Platform; Cloud computing; Lead acid batteries; PSD; Safety; Servers; Signal processing; User module
• ISSN: 2473-9464
• DOI: 10.1109/ICCSE.2019.8845485

In recent years, the serious environmental problems, the depletion of ozone layer, the greenhouse effect, the oil crisis, the development and utilization of new energy sources have become more important issues in the world, and the development of electric vehicles has been the target of global development. In order to meet the demand of the times, and in line with the technical trend of low-carbon life and energy conservation and environmental protection issues, a new management of the battery life of electric vehicles has been carried out in accordance with the technical trend of low-carbon life and energy conservation and environmental protection issues. Because the design of BMS and EMS is different, then its application in series and parallel of batteries is also different because of the state of batteries, which often results in insufficient battery power, especially when the battery is left with 20% or 10% of the battery, People are scared because they don't know how long the remaining 20% or 10% will be able to use. Therefore, this study not only can make users understand the current power situation, but can give a big data feedback integration of the functions of the Internet in the analysis of PSD curve (developed by ShinnDar), extend battery charging pricing, and have security positioning functions, and so on. It can also be used to protect the battery effectively, avoid damage due to overvoltage or overcurrent, prolong its service life effectively, which let consumers use it at ease.