|
|
Intelligent Wireless Power Transmission Cloud Network for Electric Vehicles |
Yang Qingxin1,2, Zhang Xian2, Zhang Pengcheng3 |
1. Tianjin Key Laboratory of New Energy Power Conversion, Transmission and Intelligent Control Tianjin University of Technology Tianjin 300382 China; 2. State Key Laboratory of Reliability and Intelligence of Electrical Equipment Hebei University of Technology Tianjin 300130 China; 3. Department of Electrical Engineering Tsinghua University Beijing 100084 China |
|
|
Abstract The development of electric vehicles (EVs) is a sure way for China to achieve the "double carbon" goal and move from a large-scale to a powerful automobile country. Electric vehicles have transformed from simple vehicles to energy storage units, intelligent mobile terminals, and digital spaces. Furthermore, autonomous driving is becoming an important technology to promote the reform of transportation modes, making wireless charging an inevitable choice for intelligent driverless and shared EVs in the future. However, the existing vehicle and network information interaction mode is challenging to conduct multi-level information fusion and decision-making for future scenarios. It is inseparable from the construction of intelligent wireless charging cloud networks to achieve and ensure the interconnection of energy and information. How to use advanced technologies such as cloud computing, big data, internet of things, artificial intelligence, and blockchain to build an intelligent wireless EV charging cloud network, to realize the closed-loop of vehicle, network, road, and cloud data, and form an efficient collaboration and resource optimization and matching among various elements, are critical problems. Therefore, there are vital issues to be considered and explored. This paper addresses the motivations for constructing an intelligent wireless power transmission cloud network for EVs. Critical challenges and suggestions for cloud network construction are outlined in the rest of the paper. Firstly, the natural energy storage attribute of massive numbers of electric vehicles is highlighted. The power exchange between the vehicle and grid (V2G) is reviewed from state-of-the-art and developing trends. Wireless V2G is discussed under the background of EV development. Establishing real-time electricity prices brings economic benefits to both car owners and charging operators. The combination of the electricity economy and V2G gives prominence to excellent business potential. Wireless vehicle-to-vehicle (V2V) emerges under this trend. With the increasing number of electric vehicles, it will generate considerable storage and better use of electric vehicles' energy. Participating in the vehicle network interaction can improve the distribution and mobility of the energy storage unit and enhance the electrical. The stability of the force system has practical significance. Secondly, the planning of the intelligent wireless power transmission cloud network for EVs is proposed. The cloud network platform aims to build a service platform for the Internet of Vehicles and provide a more efficient, convenient, and safe service guarantee for the travel of electric vehicles. According to the degree of automation of electric vehicles, electric vehicles can be categorized into crewed electric vehicles, hybrid (semi-automatic) electric vehicles, and autonomous electric vehicles. Different types of electric vehicles have different functional requirements for the cloud platform. The platform has great potential to support highly efficient energy exchange between the grid and vehicles. Traffic efficiency and traveling sharing can be improved based on the platform. Relevant departments should make overall arrangements, actively respond to the needs of cloud network construction, and play a leading role in policy guidance. Finally, critical problems need to be concerned during the construction. Floor planning needs to be considered from the view of land, transportation, construction, and other aspects. Diversified charging scenarios are to be discovered to meet the growing development. Digital security issues are to be ensured, and third-party platform construction and supervision are suggested. How to achieve efficient cloud information management is also critical for power exchange. New technologies such as big data, data mining, blockchain, and intelligent algorithms are to be adopted to unite the cloud network. Operation and profit models are essential factors to support the cloud network. Space electromagnetic safety problems are another vital issue to be considered both from the electromagnetic compatibility and bio-safety aspects. Establishing an intelligent wireless EV charging cloud network will be of great practical significance to transforming EV form, transportation mode, and energy consumption structure. It greatly meets people's pursuit of easy traffic.
|
Received: 04 November 2022
|
|
|
|
|
[1] 赵剑波, 王蕾. “十四五”构建以新能源为主体的新型电力系统[J]. 中国能源, 2021, 43(5): 17-21. Zhao Jianbo, Wang Lei.Research on the new power system during the 14th five-year plan[J]. Energy of China, 2021, 43(5): 17-21. [2] 人民网. 全国新能源汽车保有量突破1000万辆[EB/OL]. [2022-07-07]. http://yn.people.com.cn/n2/2022/0707/c372455-40027456.html. [3] 马伟明. 关于电工学科前沿技术发展的若干思考[J]. 电工技术学报, 2021, 36(22): 4627-4636. Ma Weiming.Thoughts on the development of frontier technology in electrical engineering[J]. Transactions of China Electrotechnical Society, 2021, 36(22): 4627-4636. [4] Husain I, Ozpineci B, Islam M S, et al.Electric drive technology trends, challenges, and opportunities for future electric vehicles[J]. Proceedings of the IEEE, 2021, 109(6): 1039-1059. [5] Zheng Xiao, Li Mingchu, Chen Yuanfang, et al.Blockchain-based secure computation offloading in vehicular networks[J]. IEEE Transactions on Intelligent Transportation Systems, 2021, 22(7): 4073-4087. [6] Fu Yuchuan, Li Changle, Yu F R, et al.A survey of driving safety with sensing, vehicular communications, and artificial intelligence-based collision avoidance[J]. IEEE Transactions on Intelligent Transportation Systems, 2022, 23(7): 6142-6163. [7] 王志勤. 车联网支持实现无人驾驶的思考[J]. 人民论坛·学术前沿, 2021(4): 49-55. Wang Zhiqin.Thinking on the realization of driverless driving through the Internet of vehicles[J]. Frontiers, 2021(4): 49-55. [8] 王海鑫, 袁佳慧, 陈哲, 等. 智慧城市车-站-网一体化运行关键技术研究综述及展望[J]. 电工技术学报, 2022, 37(1): 112-132. Wang Haixin, Yuan Jiahui, Chen Zhe, et al.Review and prospect of key techniques for vehicle-station-network integrated operation in smart city[J]. Transactions of China Electrotechnical Society, 2022, 37(1): 112-132. [9] Jain S, Ahuja N J, Srikanth P, et al.Blockchain and autonomous vehicles: recent advances and future directions[J]. IEEE Access, 9: 130264-130328. [10] Xu Xiaolong, Li Haoyuan, Xu Weijie, et al.Artificial intelligence for edge service optimization in Internet of Vehicles: a survey[J]. Tsinghua Science and Technology, 2022, 27(2): 270-287. [11] Machura P, de Santis V, Li Quan. Driving range of electric vehicles charged by wireless power transfer[J]. IEEE Transactions on Vehicular Technology, 2020, 69(6): 5968-5982. [12] Li Tan, Li Congduan, Luo Jingjing, et al.Wireless recommendations for Internet of vehicles: recent advances, challenges, and opportunities[J]. Intelligent and Converged Networks, 2020, 1(1): 1-17. [13] 赵争鸣, 刘方, 陈凯楠. 电动汽车无线充电技术研究综述[J]. 电工技术学报, 2016, 31(20): 30-40. Zhao Zhengming, Liu Fang, Chen Kainan.New progress of wireless charging technology for electric vehicles[J]. Transactions of China Electrotechnical Society, 2016, 31(20): 30-40. [14] Nezamuddin O N, Nicholas C L, Santos E C D. The problem of electric vehicle charging: state-of-the-art and an innovative solution[J]. IEEE Transactions on Intelligent Transportation Systems, 2022, 23(5): 4663-4673. [15] 中国汽车工程学会. 推进“车桩网”协调互动,服务新能源汽车规模化发展[EB/OL]. [2022-8-27]. http://www.sae-china.org/news/society/202102/a5473.html. [16] 崔岩, 胡泽春, 段小宇. 考虑充电需求空间灵活性的电动汽车运行优化研究综述[J]. 电网技术, 2022, 46(3): 981-994. Cui Yan, Hu Zechun, Duan Xiaoyu.Review on the electric vehicles operation optimization considering the spatial flexibility of electric vehicles charging demands[J]. Power System Technology, 2022, 46(3): 981-994. [17] Zhang Jin, Che Liang, Wan Xin, et al.Distributed hierarchical coordination of networked charging stations based on peer-to-peer trading and EV charging flexibility quantification[J]. IEEE Transactions on Power Systems, 2022, 37(4): 2961-2975. [18] 凤凰新闻网. 智能无线充电云网——无人驾驶共享电动汽车的必经之路[EB/OL].[2021-07-04]. https://ishare.ifeng.com/c/s/v0021iZc06rpwUhujlGeUXpI0gQUVhsiZDO4Cox970A--TNA__. [19] Yan Mingyu, Shahidehpour M, Alabdulwahab A, et al.Blockchain for transacting energy and carbon allowance in networked microgrids[J]. IEEE Transactions on Smart Grid, 2021, 12(6): 4702-4714. |
|
|
|