Ibrahim, N.I.L. and Ariffin, M.M. and Zakariya, A. (2022) Mobile Application of Data Visualization for Electric Vehicle. In: UNSPECIFIED.
Full text not available from this repository.Abstract
Mobile data visualisation solutions for electric vehicles will help both drivers and customers that have interest in electric vehicles technology. The Data Visualization mobile application help to collect, process, and analyse the data of an electric vehicle prototype via the Power BI features that will be combined with the Data Visualization mobile app. Poor data display on the system status is a common issue that users have reported. The insights that have been produced in the form of data dashboard that is compact with visualization is simple to grasp since it employs colour visualisation and is presented in a basic manner. The electric vehicle maintenance and administration will be simplified; examples of data that will be visualised include mileage, duration, battery state and battery temperature. It is intelligent and integrated as it will become more easily accessible for remote support when it is extremely helpful in providing considerable support for maintenance and monitoring operations since users will need to be advised of the vehicle's present state of health. The project's scope and tasks has been accomplished in accordance with the timeframes specified for delivering the components, which is following the agile approach that are being used. © 2022 IEEE.
Item Type: | Conference or Workshop Item (UNSPECIFIED) |
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Additional Information: | cited By 0; Conference of 6th International Conference on Computing, Communication, Control and Automation, ICCUBEA 2022 ; Conference Date: 26 August 2022 Through 27 August 2022; Conference Code:186077 |
Uncontrolled Keywords: | Electric vehicles; Mobile computing; Visualization, Data display; Mobile app; Mobile applications; Mobile data; Monitoring system; Power; Simple++; System status; Vehicle prototypes; Vehicle technology, Data visualization |
Depositing User: | Mr Ahmad Suhairi UTP |
Date Deposited: | 19 Dec 2023 03:23 |
Last Modified: | 19 Dec 2023 03:23 |
URI: | https://khub.utp.edu.my/scholars/id/eprint/17279 |