An Energy Management of Light Electric Vehicle

Oil depletion, global warming and CO2 gas emissions have become a concern and have motivated the development of an efficient and extendable energy management system (EMS) using renewable energy sources for light vehicles. In this paper, a state-based logic control algorithm is developed for a multi-source EMS for light electric vehicle, i.e., electric scooters. The multiple sources of energy, such as a battery, fuel cell (FC), and super-capacitor (SC), EMS and power controller are designed and modeled using MATLAB. The developed control strategies continuously support the EMS of the multiple sources of energy for a scooter under normal load conditions. The performance of the proposed system is analyzed and compared with that of the ECE-47 test drive cycle in terms of vehicle speed and load power. The results show that the designed vehicle’s speed and load power closely match those of the ECE-47 test driving cycle under normal conditions. This study results suggest that the proposed control algorithm provides an efficient and feasible EMS for light electric vehicles.