International Research Journal of Engineering and Technology (IRJET) Volume: 04 Issue: 02 | Feb -2017
www.irjet.net
e-ISSN: 2395 -0056 p-ISSN: 2395-0072
Informatics and infotainment system for Smart E-Bike using Raspberry Pi Ramesh Babu K1 1Ramesh
Babu K, Dept. of Mechanical Engineering, NIT Warangal, Warangal, Telangana, India
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Abstract – With the increase in demand for smart
intelligent devices, integration of smart systems in automobildes is inevitable and certainly has gained large attention in recent times. To develop the intelligent smart systems, installing vehicle sensors and processing data from them is the key fundamental step. This paper provides overview of how to capture certain critical vehicle data from various sensors and process the data which can later be processed for intelligent systems development and to display the relevant information for the rider. Key Words: Informatics, Infotainment, Smart Vehicle, GPS, Odometer, Speedometer, Data Logging, Dashboard.
1.INTRODUCTION
Fig-1: Connected E-Bike system
The current automobile industry is struggling with the issue of lack of information about the performance of product and its sub systems during its usage, which can later be used for future product development or improving the current product or sub systems. This is mainly due to the fact that the collection of data from sub systems of gasoline vehicles is hectic and processing such large chunks of data is not possible[1]. But with the advent of electric vehicles and owing to its simplistic design and lesser number of parts one can collect large amounts of data from the vehicle and use it for further research. With cloud connectivity, this data can be transmitted at real time and this paves way for an entirely new era in the transportation sector leading to intelligent connected transportation systems [2]. Automotive grade Linux OS platform is an upcoming product whose development is completely open sourced and many automobile giants are already adopting this OS which can be used as base to develop informatics and infotainment systems and other applications based on the data. This paper presents an effort on how we can combine automobile, data processing and cloud connectivity technologies which are fundamental in establishing a connected vehicle system. Fundamental sensors like Speedometer, GPS and Accelerometer and gyro are used to develop the module using Raspberry Pi, the data from which is logged onto a database file and this information is transmitted via Wi-Fi and further GUI is developed to display ride metrics information onto a dashboard as shown in Fig-1.
Š 2017, IRJET
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Impact Factor value: 5.181
2. LITERATURE REVIEW Developing a community of software developers for enabling Automotive industry to utilize Linux and open source technologies for product development is the prime focus of Automotive grade Linux team and the same was demonstrated by Matt Jones and Magnus Feuer in Collaboration summit, 2013 at San Francisco, California [3]. The paper on Implementing the connected e-bike: challenges and requirements of an IoT application for urban transportation by Kristina FlĂźchter [4] demonstrates how connecting physical systems like E-bike to virtual world is creating interest among users and the challenges and technological restrictions concerning the completeness of collected data from vehicle sensors which are to be addressed. A blog article by Ather energy, a smart EV startup aimed at developing a next generation intelligent connected scooter mentioned it its blog [5] about the how the digital revolution is transforming various products and how the need to connect with a machine in its physical environment and gather data without any help from humans has been the premise of smarter, connected products.
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