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Smart Agent For Efficient Charging (SAFEC)

Smart Agent For Efficient Charging (SAFEC)
高效充电智能代理 (SAFEC)
批准号:
10079126
负责人:
金额:
$6.37万
依托单位:
依托单位国家:
英国
项目类别:
Collaborative R&D
财政年份:
2023
资助国家:
英国
项目状态:
已结题
起止时间:
2023 至 --

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中文摘要
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英文摘要
Project "Smart Agent For Efficient Charging" (SAFEC) aims to revolutionise the electric vehicle (EV) charging process by deploying advanced AI techniques to make charging decisions in real time, thereby reducing costs and supporting environmental sustainability. This project is a collaboration between Gridicity, an EV energy management software company, and TechnoQuest, an AI development firm. The project's novelty resides in the comprehensive optimisation of EV charging in real time using AI.The primary challenge SAFEC addresses is to manage EV charging times efficiently, accounting for variable energy tariffs and multiple other relevant factors. These range from recurring seasonal and daily patterns in grid demand, day-ahead and real-time energy market prices, fleet size, driving patterns, to current and required states of charge for each vehicle. Optimising these factors could result in substantial cost savings and productivity gains for EV fleets.While smart energy management solutions exist in the domestic EV sector, they are not yet widely applied in the commercial EV fleet and public charging network sectors.SAFEC not only represents an economic opportunity but also aligns with the UK government's net zero emissions goals. By shifting power demand to off-peak times when cheaper, often renewable energy is available, SAFEC prevents excessive fossil fuel usage, contributing to a greener, more sustainable future. Additionally, by reducing the operating costs of EV fleets, SAFEC encourages faster EV adoption, further supporting the shift towards sustainable transportation. Overall, SAFEC harmoniously integrates economic and environmental objectives through innovative AI applications in EV charging.
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  • 批准号:
    JCZRQNB202600735
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2026
  • 负责人:
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基于Agent的自动化渗透测试技术研究
  • 批准号:
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  • 资助金额:
    --
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    2025
  • 负责人:
    谭劲松
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AI Agent赋能中小企业智能决策系统研究
  • 批准号:
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2025
  • 负责人:
    蔡孝成
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