UK-Australia Centre in a Secure Internet of Energy: Supporting Electric Vehicle Infrastructure at the "Edge" of the Grid

英国-澳大利亚安全能源互联网中心:支持电网“边缘”的电动汽车基础设施

基本信息

  • 批准号:
    EP/W003325/1
  • 负责人:
  • 金额:
    $ 192.54万
  • 依托单位:
  • 依托单位国家:
    英国
  • 项目类别:
    Research Grant
  • 财政年份:
    2022
  • 资助国家:
    英国
  • 起止时间:
    2022 至 无数据
  • 项目状态:
    未结题

项目摘要

The Internet of Energy (IoE) is a paradigm towards achieving a "zero-carbon" society by optimising electrical energy usage, especially for emerging loads such as Electric Vehicles. The paradigm is a recognition that integrating the internet of things with energy sources and demand loads, enables real-time processing of data streams to support actionable decision support. The aim of this centre-to-centre collaboration is to conduct fundamental multi-disciplinary research in the cyber resilience of future IoE systems. As electric vehicles are likely to make the greatest use of battery capacity in the future, they will play a key role in the IoE infrastructures. According to the "Global EV Outlook 2020" report (https://www.iea.org/reports/global-evoutlook-2020, International Energy Agency), Electric Vehicle sales topped 2.1M globally in 2019, surpassing 2018 - already a record year - to boost the stock to 7.2M electric cars. As technological progress in the electrification of two/three-wheelers, buses and trucks advances and the market for them grows, electric vehicles are expanding significantly. This growth is further amplified through government regulations, e.g. phasing out of diesel and petrol vehicles. This percentage is also likely to grow both in the United Kingdom and Australia. To meet climate-change goals, half of UK cars must be electric by 2030 (according to the UK government). Similarly, the Australian government (https://www.infrastructureaustralia.gov.au/) predicts that by 2040, electric vehicles (EVs) are projected to account for 70% to 100% of new vehicle sales. To meet the demand of the growing EV population, UK and Australian governments are ramping up the installation of charging infrastructure. For example, there are now more than 35,000 charge point connectors across the UK in over 13,000 locations - with around 7,000 charge point connectors added in 2020 alone. This makes electrical vehicles significant energy consumers in the IoE, with their batteries also providing the potential for energy storage in times of emergency or unexpected surges in demand. However, this benefit can only be effectively realised if we can secure the interaction between Electric Vehicles (EVs), charging infrastructure and the national grid. Since 2016, the number of cyber incidents involving vehicles has increased by 605%, with incident rates doubling on a year to year basis (according to 2020 Upstream security's global automotive cybersecurity report). The target of such cyber-attacks is not only private EVs but also commercial EVs. This proposal combines workstreams on attack modelling, data synthesis, attack generation and validation of these using testbeds across the UK and Australia. A simulator will be developed to support a number of "what-if" investigations in cyber resilience for EVs to be carried out. Partners in this proposal have expertise in cybersecurity, power electronics, electrical vehicles, artificial intelligence and distributed computing, and have extensive prior experience in multi-site collaborations. The IoE (cyber-physical) security theory developed in this project will also contribute to accelerated adoption of EV energy prosumers at the edge of the power grid.This proposal will also provide an opportunity for experienced and early career researchers to work collectively on the challenges identified above. A "future leaders" training programme will be developed as part of this proposal to create an "ideas exchange" community across students and academic faculty between the UK and Australian partners. Our industry partners will also be engaged through workshops and "sandpit" events to identify use cases that have industry relevance and which could provide the basis for future startups (in collaboration with entrepreneurship teams at our institutions). The shared testbeds and simulation environment developed will also provide a legacy on completion of this work.
能源互联网(IoE)是通过优化电能使用来实现“零碳”社会的典范,特别是对于电动汽车等新兴负载。该模式是一种认识,将物联网与能源和需求负载相结合,可以实时处理数据流,以支持可操作的决策支持。这种中心对中心合作的目的是在未来物联网系统的网络弹性方面进行基础多学科研究。由于电动汽车很可能在未来最大限度地利用电池容量,因此它们将在物联网基础设施中发挥关键作用。根据《2020年全球电动汽车展望》报告(https://www.iea.org/reports/global-evoutlook-2020,国际能源署),2019年全球电动汽车销量超过210万辆,超过2018年(已经是创纪录的一年),电动汽车库存达到720万辆。随着两轮/三轮车、公共汽车和卡车电气化技术的进步和市场的增长,电动汽车正在显著扩大。通过政府法规,例如逐步淘汰柴油和汽油车,这种增长进一步扩大。这一比例在英国和澳大利亚也有可能增长。为了实现气候变化目标,到2030年,一半的英国汽车必须是电动的(根据英国政府的数据)。同样,澳大利亚政府(https://www.infrastructureaustralia.gov.au/)预测,到2040年,电动汽车(ev)预计将占新车销量的70%至100%。为了满足日益增长的电动汽车人口的需求,英国和澳大利亚政府正在加紧安装充电基础设施。例如,目前在英国超过13,000个地点有超过35,000个充电点连接器,仅在2020年就增加了约7,000个充电点连接器。这使得电动汽车成为物联网中的重要能源消费者,它们的电池还可以在紧急情况或意外需求激增时提供能量存储的潜力。然而,只有确保电动汽车(ev)、充电基础设施和国家电网之间的互动,才能有效实现这一效益。自2016年以来,涉及车辆的网络事件数量增加了605%,事故率每年翻一番(根据Upstream security的2020年全球汽车网络安全报告)。这种网络攻击的目标不仅是私人电动汽车,也包括商用电动汽车。该提案结合了攻击建模、数据合成、攻击生成和使用英国和澳大利亚的测试平台验证这些工作流。将开发一个模拟器,以支持一系列关于电动汽车网络弹性的“假设”调查。本提案的合作伙伴在网络安全、电力电子、电动汽车、人工智能和分布式计算方面具有专业知识,并且在多站点合作方面具有丰富的经验。该项目开发的IoE(网络物理)安全理论也将有助于加速电动汽车在电网边缘的采用。该提案还将为有经验和早期职业的研究人员提供一个机会,共同应对上述挑战。作为这项提议的一部分,将开发一个“未来领袖”培训项目,在英国和澳大利亚合作伙伴之间的学生和学术人员之间建立一个“思想交流”社区。我们的行业合作伙伴也将通过研讨会和“沙坑”活动参与进来,以确定与行业相关的用例,并为未来的创业提供基础(与我们机构的创业团队合作)。开发的共享测试平台和模拟环境也将在完成这项工作后提供遗产。

项目成果

期刊论文数量(5)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Lime: Low-Cost and Incremental Learning for Dynamic Heterogeneous Information Networks
  • DOI:
    10.1109/tc.2021.3057082
  • 发表时间:
    2021-02
  • 期刊:
  • 影响因子:
    3.7
  • 作者:
    Hao Peng-;Renyu Yang;Z. Wang;Jianxin Li;Lifang He;Philip S. Yu;A. Zomaya;R. Ranjan
  • 通讯作者:
    Hao Peng-;Renyu Yang;Z. Wang;Jianxin Li;Lifang He;Philip S. Yu;A. Zomaya;R. Ranjan
Blockchain adoption: A study of cognitive factors underpinning decision making
  • DOI:
    10.1016/j.chb.2022.107207
  • 发表时间:
    2022-01-26
  • 期刊:
  • 影响因子:
    9.9
  • 作者:
    Marikyan, Davit;Papagiannidis, Savvas;Ranjan, Rajiv
  • 通讯作者:
    Ranjan, Rajiv
CorrDetector: A framework for structural corrosion detection from drone images using ensemble deep learning
  • DOI:
    10.1016/j.eswa.2021.116461
  • 发表时间:
    2022-01-14
  • 期刊:
  • 影响因子:
    8.5
  • 作者:
    Forkan, Abdur Rahim Mohammad;Kang, Yong-Bin;Sinha, Samir
  • 通讯作者:
    Sinha, Samir
OsmoticGate: Adaptive Edge-Based Real-Time Video Analytics for the Internet of Things
  • DOI:
    10.1109/tc.2022.3193630
  • 发表时间:
    2023-04
  • 期刊:
  • 影响因子:
    3.7
  • 作者:
    Bin Qian;Z. Wen;Junqi Tang;Ye Yuan-;Albert Y. Zomaya;R. Ranjan
  • 通讯作者:
    Bin Qian;Z. Wen;Junqi Tang;Ye Yuan-;Albert Y. Zomaya;R. Ranjan
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Rajiv Ranjan其他文献

A Survey on Active Deep Learning: From Model-Driven to Data-Driven
主动深度学习综述:从模型驱动到数据驱动
  • DOI:
    10.1145/3510414
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    16.6
  • 作者:
    Peng Liu;Lizhe Wang;Rajiv Ranjan;Guojin He;Lei Zhao
  • 通讯作者:
    Lei Zhao
Role of Colour Doppler Ultrasound Examination of Cavernosal Artery in Cases of Suspected Vasculogenic Cause of Erectile Dysfunction
海绵体动脉彩色多普勒超声检查在疑似血管源性勃起功能障碍病例中的作用
India’s G20 Presidency: Implications for the Latin American Region in the Framework of the Global South
印度担任 G20 主席国:对南半球框架内拉丁美洲地区的影响
  • DOI:
    10.1177/09749284231203328
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Georgina M. Pagola Rodríguez;Rajiv Ranjan;Liber S. Di Paulo Torterolo
  • 通讯作者:
    Liber S. Di Paulo Torterolo
Geographical information system parallelization for spatial big data processing: a review
div class=pagediv class=sectiondiv class=layoutAreadiv class=columnUltra-Scalable CPU-MIC Acceleration of span style=font-family:#39;line-height:1.5;M
M 的超可扩展 CPU-MIC 加速
  • DOI:
  • 发表时间:
    2015
  • 期刊:
  • 影响因子:
    3.7
  • 作者:
    Lin Gan;Yutong Lu;Rajiv Ranjan;Lizhe Wang
  • 通讯作者:
    Lizhe Wang

Rajiv Ranjan的其他文献

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{{ truncateString('Rajiv Ranjan', 18)}}的其他基金

National Edge AI Hub for Real Data: Edge Intelligence for Cyber-disturbances and Data Quality
用于真实数据的国家边缘人工智能中心:针对网络干扰和数据质量的边缘智能
  • 批准号:
    EP/Y028813/1
  • 财政年份:
    2024
  • 资助金额:
    $ 192.54万
  • 项目类别:
    Research Grant
Scalable Circular Supply Chains for the Built Environment
适用于建筑环境的可扩展循环供应链
  • 批准号:
    EP/V042017/1
  • 财政年份:
    2022
  • 资助金额:
    $ 192.54万
  • 项目类别:
    Research Grant
PACE: Privacy-Aware Cloud Ecosystems
PACE:隐私意识云生态系统
  • 批准号:
    EP/R033293/1
  • 财政年份:
    2018
  • 资助金额:
    $ 192.54万
  • 项目类别:
    Research Grant

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