Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Machine Learning is th e subject of a report. According to news reporting originating from Sherbrooke, Canada, by NewsRx correspondents, research stated, "Recently, demand for electri c vehicles (EVs) has increased significantly as people are becoming more conscio us of the environment and the need to reduce carbon emissions. The introduction of multi-motor systems in EVs has brought new challenges in terms of energy effi ciency and performance." Financial support for this research came from Canada Research Chairs. Our news editors obtained a quote from the research from the University of Sherb rooke, "This paper presents a Multi-Ensemble Learning (MEL)-based approach to de sign an Energy Management Strategy (EMS) for a Dual Motor Electric Vehicle (DMEV ) where MEL is a new powerful Machine Learning approach implemented using Python programming language. To make our study concrete, we studied a real DMEV that i s modeled using Energetic Macroscopic Representation and whose control is simula ted using Matlab/Simulink ™ The designed EMS aims to distribute the instant tor que between the two electric motors in an efficient manner, with the objective o f minimizing energy consumption as much as possible. Contrary to existing EMSs, an important advantage of our designed EMS is that it determines the instant tor que distribution in real-time (while the vehicle is running), without knowing in advance how physical parameters (such as the speed and traction force) will evo lve during the current trip."
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