首页|Netherlands Organization for Applied Scientific Research Researcher Describes Research in Machine Learning (Charge Scheduling of Electric Vehicle Fleets: Maximizing Battery Remaining Useful Life Using Machine Learning Models)
Netherlands Organization for Applied Scientific Research Researcher Describes Research in Machine Learning (Charge Scheduling of Electric Vehicle Fleets: Maximizing Battery Remaining Useful Life Using Machine Learning Models)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on artificial intelligence. According to news originating from the Netherlands Organization for Applied Scientific Research by NewsRx correspondents, research stated, “Reducing greenhouse emissions can be done via the electrification of the transport industry.However, there are challenges related to the electrification such as the lifetime of vehicle batteries as well as limitations on the charging possibilities.” Funders for this research include European Union. The news correspondents obtained a quote from the research from Netherlands Organization for Applied Scientific Research: “To cope with some of these challenges, a charge scheduling method for fleets of electric vehicles is presented. Such a method assigns the charging moments (i.e., schedules) of fleets that have more vehicles than chargers. While doing the assignation, the method also maximizes the total Remaining Useful Life (RUL) of all the vehicle batteries. The method consists of two optimization algorithms. The first optimization algorithm determines charging profiles (i.e., charging current vs time) for individual vehicles. The second algorithm finds the charging schedule (i.e. the order in which vehicles are connected to a charger) that maximizes the RUL in the batteries of the entire fleet. To reduce the computational effort of predicting the battery RUL, the method uses a Machine Learning (ML) model. Such a model predicts the RUL of an individual battery while taking into account common stress factors and fabrication-related differences per battery.”
Netherlands Organization for Applied Scientific ResearchCy- borgsEmerging TechnologiesMachine Learning
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