首页|New Machine Learning Findings Has Been Reported by Investigators at University o f Sherbrooke (Real-time Torque-distribution for Dual-motor Off-road Vehicle Usin g Machine Learning Approach)
New Machine Learning Findings Has Been Reported by Investigators at University o f Sherbrooke (Real-time Torque-distribution for Dual-motor Off-road Vehicle Usin g Machine Learning Approach)
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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."
SherbrookeCanadaNorth and Central Am ericaCyborgsEmerging TechnologiesMachine LearningUniversity of Sherbrook e
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