Development of an IoT Platform for Monitoring Electric Vehicle Behaviour

Abstract

Batteries are the largest contributor to the high value of electric vehicles. The lack of knowledge about the effect of driving style, charging strategies, and routes taken on battery degradation rests on the lack of real operating data describing these factors. For this reason, the design of a monitoring system that collects such information is proposed. Initially, in a variable prioritization stage, a functional analysis identifies the system variables and potential information collection points. Additional vehicle sensor information is collected through an OBD-II (The OBD term, stands from the acronym of “On Board Diagnosis (OBD)”) port data-logger. Subsequently, the function to data method prioritizes and reduces the set of variables for each operating state. Then, a finite state machine selects the set of monitoring variables accordingly. With this result, the instrumentation architecture of the vehicle is defined, as well as the development of a data-oriented web application, which allows visualizing, using different approaches, the variables previously defined.