Optimized Eco-Driving with Real-Time Telemetry in a Lightweight Electric Vehicle

In this paper, the application of an advanced telemetry system is introduced, which is used to monitor an electric, energy-efficient experimental urban vehicle. The system enables real-time observation of both the pilot's actions and vehicle parameters. The vehicle's pilot drives according to a predetermined driving strategy, optimized for minimizing energy consumption during vehicle operation. The telemetry system aims to provide real-time information about the pilot's driving and deviations from the predetermined strategy, offering additional opportunities for correction during operation. Additionally, it facilitates real-time observation of all vehicle and sensor data on the vehicle's CAN network. The paper discusses the determination of the driving strategy and presents its graphical representation for the pilot. A detailed description of the telemetry system's operation through wireless connection is provided in the paper. In terms of implementation, the driving strategy was formulated using MATLAB through optimization, while graphical display, data collection, and telemetry system development were implemented in the LabVIEW environment. The functionality of the created energy-efficient driving support framework was examined under real driving conditions. The application of the telemetry system and proposed hybrid optimization approach helped to further reduce the energy consumption by 8.54%.