Data analytics for electric vehicle energy management
Data analytics for electric vehicle energy management
批准号:
570760-2021
负责人:
Grolinger, Katarina
金额:
$2.19万
依托单位国家:
加拿大
项目类别:
Alliance Grants
财政年份:
2021
资助国家:
加拿大
项目状态:
已结题
起止时间:
2021-01-01 至 2022-12-31
中文摘要
近年来,电动汽车(EV)的受欢迎程度一直在快速增长:2020年,尽管整体汽车销量下降了16%,但全球电动汽车注册量增长了41%。加拿大将在2035年后禁止新的内燃机汽车,其他许多国家也宣布了类似的计划。此外,人们对可持续发展的兴趣正在增长,许多消费者愿意为可持续发展支付溢价。实现如此激进的目标会带来许多挑战。首先,电动汽车车主需要新的服务,以鼓励电动汽车的采用,并支持能源消耗和成本管理。电动汽车使用量的快速增长将给现有电网带来压力,配电公司需要提供服务来估计未来电网负荷,了解电动汽车充电模式,预测当地电网负荷,并支持决策。因此,本项目的主要目标是为电动汽车车主和配电商设计和开发电动汽车数据分析解决方案,以促进电动汽车的采用,降低拥有成本,了解电网对电动汽车充电的影响,并减少对环境的影响。两个主要组件是:面向车主和面向经销商的解决方案。电动汽车面向车主的解决方案将帮助电动汽车车主管理他们的充电成本,为他们提供个性化的建议和里程估计。面向经销商的解决方案将提供大规模电网影响分析,以支持电网扩建、可再生能源整合和优化大规模电动汽车充电的决策。该项目将帮助伦敦水电适应不断变化的电网特征,为客户提供更多服务,改善需求响应计划,并最终减少对环境的影响。
英文摘要
In recent years, Electric Vehicle (EV) popularity has been rapidly growing: in 2020 global EV registration increased 41% despite overall car sales falling 16%. Canada will be banning new internal combustion engine vehicles after 2035 and many other countries are announcing similar plans. Moreover, interest in sustainability is growing and many consumers are willing to pay a premium for sustainability. Meeting such aggressive objectives imposes many challenges. First, new services are needed for EV owners to encourage EV adoption and support energy consumption and cost management. Expansive growth in EV adoption will put a strain on the existing electrical grid and services are needed for distribution companies to estimate future grid load, understand EV charging patterns, predict local grid loads, and support decision making.Consequently, the main objective of this project is to design and develop EV data analytics solution for EV owners and electricity distributors in order to promote EV adoption, reduce the cost of ownership, understand the EV charging impact of the grid, and reduce the impact on the environment. The two main components are: the EV owner-facing and distributor-facing solutions. The EV owner-facing solution will help EV owners manage their charging cost, provide them personalized suggestions and range estimates. The distributor-facing solution will provide large-scale grid impact analysis to support decision-making in respect to grid expansion, renewable integration, and optimizing large-scale EV charging. The project will help London Hydro adapt to changing grid characteristics, provide additional services for its customers, improve demand-response programs, and ultimately reduce the impact on the environment.
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