Development of an Android OS Based Controller of a Double Motor Propulsion System for Connected Electric Vehicles and Communication Delays Analysis

Pedro Daniel Urbina Coronado,Ruben Morales-Menendez,Vishnu-Baba Sundaresan,Horacio Ahuett-Garza

doi:10.1155/2015/467165

Pedro Daniel Urbina Coronado, Ruben Morales-Menendez + Show 2 more

Open Access

https://doi.org/10.1155/2015/467165

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Abstract

Developments of technologies that facilitate vehicle connectivity represent a market demand. In particular,mobile device(MD) technology provides advanced user interface, customization, and upgradability characteristics that can facilitate connectivity and possibly aid in the goal of autonomous driving. This work explores the use of a MD in the control system of a conceptualelectric vehicle(EV). While the use of MD for real-time control and monitoring has been reported, proper consideration has not been given to delays in data flow and their effects on system performance. The motor of a novel propulsion system for an EV was conditioned to be controlled in a wireless local area network by an ecosystem that includes a MD and an electronic board. An intended accelerator signal is predefined and sent to the motor and rotational speed values produced in the motor are sent back to the MD. Sample periods in which the communication really occurs are registered. Delays in the sample periods and produced errors in the accelerator and rotational speed signals are presented and analyzed. Maximum delays found in communications were of 0.2 s, while the maximum error produced in the accelerator signal was of 3.54%. Delays are also simulated, with a response that is similar to the behavior observed in the experiments.

Highlights

Transportation systems of the future will likely rely on some form of autonomous driving capabilities from vehicles [1]
An accelerator signal is generated in the mobile device (MD) as function of time in seconds (t)
The electronic board receives the acceleration signal filtered by a floor function, as shown in (2)

Summary

Introduction

Transportation systems of the future will likely rely on some form of autonomous driving capabilities from vehicles [1]. Potential benefits of autonomous driving technology include the reduction or elimination of accidents, improved traffic flow, and increased energy efficiency [2, 3]. Vehicle connectivity is considered to be a key technological feature of reliable and universally autonomous driving. Mobile devices (MD), such as smartphones and tablets, use operating systems (OS) that represent a potential enabling technology for connected vehicles. MD offer a wide catalogue of connectivity options, such as Wi-Fi, Bluetooth, NFC, and 4G LTE [7], provide location awareness as a key feature [8, 9], and provide built-in useful sensors like accelerometers and video cameras [10,11,12]. Features that are inherent to MD, such as customizable and upgradable user interfaces, have become highly desirable for vehicle operation because people have become familiarized with them [13,14,15]

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