MOST-Network EVs for green intelligent transportation
MOST-绿色智能交通网联电动汽车
基本信息
- 批准号:493787-2016
- 负责人:
- 金额:$ 13.73万
- 依托单位:
- 依托单位国家:加拿大
- 项目类别:Strategic Projects - Group
- 财政年份:2017
- 资助国家:加拿大
- 起止时间:2017-01-01 至 2018-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Climate change and extreme weather, a by-product of greenhouse gas emissions, has been a critical issue facing the world. Electric vehicles (EVs) are a key to future clean transportation, and they will contribute to promoting sustainable energy development and addressing air quality and climate change. They are especially beneficial in Canada, as the majority of our electricity is generated from renewable and low-emission sources. Despite the various incentives from governments worldwide, the rollout of EVs has been slow. Limited transportation range and lack of convenient charging services are among the major obstacles. Furthermore, if the charging of a large number of EVs is unmanaged, the aggregated charging demand may create a peak load to potentially endanger the power system. The good news is that EVs are now hitting the market in the same period that vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication technologies are emerging, and utilities around the globe are racing to make their grids more intelligent by adopting information and communication technologies. In addition to solving the above range and charging problems, the nexus of the Internet, EVs, charging stations, and smart power grids constitutes a perfect storm of opportunities for future green and intelligent transportation. In this new paradigm, reliable, efficient, and secure information exchanges between EVs, meters, charging stations and grid, and real-time data management and analysis are key issues. To achieve a competitive edge for Canadian players, this project will define interdisciplinary research efforts to develop advanced information, communication and control techniques for networked EVs, focusing on scalable and efficient EV communication network design, smart EV charging providing demand response services, and security and privacy in the cyber physical systems. They are key enabling tools for networked EVs, which may not only revolutionize how things move, but also how energy flows, leading to future green and intelligent transportation of both things and energy.
气候变化和极端天气是温室气体排放的副产品,一直是世界面临的一个关键问题。电动汽车(EV)是未来清洁交通的关键,将有助于促进可持续能源发展、应对空气质量和气候变化。它们对加拿大尤其有利,因为我们的大部分电力都是由可再生和低排放来源产生的。尽管世界各国政府出台了各种激励措施,但电动汽车的推广进展缓慢。交通范围有限和缺乏便捷的充电服务是主要障碍之一。此外,如果大量电动汽车的充电不受管理,聚合的充电需求可能会产生峰值负载,从而潜在地危及电力系统。好消息是,电动汽车现已进入市场,与此同时,车辆对车辆 (V2V) 和车辆对基础设施 (V2I) 通信技术正在兴起,全球各地的公用事业公司都在竞相提高其电网的性能。通过采用信息和通信技术实现智能化。除了解决上述续航里程和充电问题外,互联网、电动汽车、充电站和智能电网的结合构成了未来绿色智能交通的完美机遇风暴。在这种新范式中,电动汽车、仪表、充电站和电网之间可靠、高效、安全的信息交换以及实时数据管理和分析是关键问题。为了让加拿大企业获得竞争优势,该项目将定义跨学科研究工作,为联网电动汽车开发先进的信息、通信和控制技术,重点关注可扩展且高效的电动汽车通信网络设计、提供需求响应服务的智能电动汽车充电以及安全和控制技术。网络物理系统中的隐私。它们是联网电动汽车的关键支持工具,不仅可能彻底改变物体的移动方式,而且可能彻底改变能源的流动方式,从而实现未来物体和能源的绿色和智能运输。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Cai, Lin其他文献
Biomimetic mineralization of novel hydroxyethyl cellulose/soy protein isolate scaffolds promote bone regeneration in vitro and in vivo
- DOI:
10.1016/j.ijbiomac.2020.08.029 - 发表时间:
2020-11-01 - 期刊:
- 影响因子:8.2
- 作者:
Wu, Minhao;Wu, Ping;Cai, Lin - 通讯作者:
Cai, Lin
Fungal Composition and Diversity of the Tobacco Leaf Phyllosphere During Curing of Leaves
- DOI:
10.3389/fmicb.2020.554051 - 发表时间:
2020-09-04 - 期刊:
- 影响因子:5.2
- 作者:
Chen, Qian-Li;Cai, Lin;Li, Zhong - 通讯作者:
Li, Zhong
Atrial-selective block of sodium channels by acehytisine in rabbit myocardium
- DOI:
10.1016/j.jphs.2016.03.014 - 发表时间:
2016-12-01 - 期刊:
- 影响因子:3.5
- 作者:
Fan, Xinrong;Wang, Chao;Cai, Lin - 通讯作者:
Cai, Lin
NSUN2 promotes osteosarcoma progression by enhancing the stability of FABP5 mRNA via m(5)C methylation.
- DOI:
10.1038/s41419-023-05646-x - 发表时间:
2023-02-15 - 期刊:
- 影响因子:9
- 作者:
Yang, Min;Wei, Renxiong;Zhang, Sheng;Hu, Sang;Liang, Xiaoxiao;Yang, Zhiqiang;Zhang, Chong;Zhang, Yufeng;Cai, Lin;Xie, Yuanlong - 通讯作者:
Xie, Yuanlong
COMPUTATIONAL FLUID DYNAMICS SIMULATION OF THE SUPERSONIC STEAM EJECTOR USING DIFFERENT CONDENSATION MODEL
- DOI:
10.2298/tsci180723236c - 发表时间:
2019-01-01 - 期刊:
- 影响因子:1.7
- 作者:
Cai, Lin;He, Miao;Xiong, Wei - 通讯作者:
Xiong, Wei
Cai, Lin的其他文献
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{{ truncateString('Cai, Lin', 18)}}的其他基金
Low-Latency and Reliable Wireless Pipeline for Internet-of-Things
适用于物联网的低延迟且可靠的无线管道
- 批准号:
RGPIN-2020-04516 - 财政年份:2022
- 资助金额:
$ 13.73万 - 项目类别:
Discovery Grants Program - Individual
Low-Latency and Reliable Wireless Pipeline for Internet-of-Things
适用于物联网的低延迟且可靠的无线管道
- 批准号:
RGPIN-2020-04516 - 财政年份:2021
- 资助金额:
$ 13.73万 - 项目类别:
Discovery Grants Program - Individual
Nomination for NSERC Steacie Memorial Fellowship
NSERC Steacie 纪念奖学金提名
- 批准号:
537593-2019 - 财政年份:2020
- 资助金额:
$ 13.73万 - 项目类别:
EWR Steacie Fellowships - Supplement
Low-Latency and Reliable Wireless Pipeline for Internet-of-Things
适用于物联网的低延迟且可靠的无线管道
- 批准号:
RGPIN-2020-04516 - 财政年份:2020
- 资助金额:
$ 13.73万 - 项目类别:
Discovery Grants Program - Individual
Nomination for NSERC Steacie Memorial Fellowship
NSERC Steacie 纪念奖学金提名
- 批准号:
537593-2019 - 财政年份:2019
- 资助金额:
$ 13.73万 - 项目类别:
EWR Steacie Fellowships - Supplement
Ultra-Reliable and Scalable Wireless Network Testbed Powering Vehicle-to-Everything (V2X)
超可靠且可扩展的无线网络测试台为车联网 (V2X) 提供支持
- 批准号:
RTI-2020-00162 - 财政年份:2019
- 资助金额:
$ 13.73万 - 项目类别:
Research Tools and Instruments
Cooperative and self-organizing wireless networks for machine-to-machine communications
用于机器对机器通信的协作和自组织无线网络
- 批准号:
RGPIN-2015-05187 - 财政年份:2019
- 资助金额:
$ 13.73万 - 项目类别:
Discovery Grants Program - Individual
Cooperative and self-organizing wireless networks for machine-to-machine communications
用于机器对机器通信的协作和自组织无线网络
- 批准号:
RGPIN-2015-05187 - 财政年份:2018
- 资助金额:
$ 13.73万 - 项目类别:
Discovery Grants Program - Individual
MOST-Network EVs for green intelligent transportation
MOST-绿色智能交通网联电动汽车
- 批准号:
493787-2016 - 财政年份:2018
- 资助金额:
$ 13.73万 - 项目类别:
Strategic Projects - Group
Cooperative and self-organizing wireless networks for machine-to-machine communications
用于机器对机器通信的协作和自组织无线网络
- 批准号:
478098-2015 - 财政年份:2017
- 资助金额:
$ 13.73万 - 项目类别:
Discovery Grants Program - Accelerator Supplements
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- 批准年份:2019
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- 项目类别:青年科学基金项目
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MOST-Network EVs for green intelligent transportation
MOST-绿色智能交通网联电动汽车
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493787-2016 - 财政年份:2018
- 资助金额:
$ 13.73万 - 项目类别:
Strategic Projects - Group
MOST-Network EVs for green intelligent transportation
MOST-绿色智能交通网联电动汽车
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