首页|Study Findings from Beijing Institute of Technology Provide NewInsights into Ro botics (Ev Charging Fairness Protective ManagementAgainst Charging Demand Uncer tainty for a New '1 To N'Automatic Charging Pile)

Study Findings from Beijing Institute of Technology Provide NewInsights into Ro botics (Ev Charging Fairness Protective ManagementAgainst Charging Demand Uncer tainty for a New '1 To N'Automatic Charging Pile)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Robotics have been published. According to news reportingoriginating in Beijing, People’s Re public of China, by NewsRx journalists, research stated, “Electric vehicles(EVs ) have been popularly adopted and deployed over the past few years. However, the mismatch betweenEVs and charging infrastructure has become one of the major ro adblocks to restricting EV promotion.”Financial support for this research came from National Natural Science Foundatio n of China (NSFC).The news reporters obtained a quote from the research from the Beijing Institute of Technology, “Targetat improve the temporal and spatial utilization rate of charging infrastructure, this paper presents a new‘1 to N’ automatic charging s ystem with the combination of charging pile and special robotic arm. Theconnect ion between the charging pile and arrived EVs can be automatically switched by t he robotic armand the charging demand of EVs parking at the random parking spot s could be satisfied. Based on the ‘1to N’ charging scenario a two-layer iterat ive charging scheduling strategy is proposed benefits of restrainingthe impact of the charging demand uncertainty while realizing the fairness in charging beha vior.”

BeijingPeople’s Republic of ChinaAsi aEmerging TechnologiesMachine LearningRoboticsRobotsBeijing Institute of Technology

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Oct.18)