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《中国工程科学》 >> 2024年 第26卷 第1期 doi: 10.15302/J-SSCAE-2024.01.003

新技术形势下“车能路云”融合发展战略研究

1. 北京理工大学机械与车辆学院,北京 100081;

2. 北京理工大学深圳汽车研究院,广东深圳 518000;

3. 比亚迪汽车工业有限公司汽车工程研究院,广东深圳 518118;

4. 清华大学车辆与运载学院,北京 100084

资助项目 :中国工程院咨询项目“‘四链’深度融合下我国新能源汽车和智能汽车产业高质量发展战略研究”(2023-PP-06) 收稿日期: 2023-12-19 修回日期: 2024-01-18 发布日期: 2024-02-21

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摘要

“车能路云”融合发展将汽车、能源、交通、互联网云有机地融为一体,有利于加速形成智能、低碳、安全、高效的全新出行与生活生态体系,高质量推进汽车产业发展;在新技术形势下,进一步形成“智能的车+互动的能+数字的路+协同的云”的良好生态,充分发挥其价值优势是未来我国“车能路云”融合发展的重要任务。本文结合新能源变革、智能网联汽车发展、人工智能以及碳中和等新技术形势,分析了我国汽车产业发展的形势;从车端、能源节点、路端、云端与产业融合5 个方面,介绍了“车能路云”的系统构成、发展现状、相互关系与总体框架,并对我国“车能路云”融合发展面临的挑战进行了总结。在此基础上,提出了“车能路云”融合发展的建议,涵盖坚持应用导向、推动正向创新、城市级应用示范、多元化撬动投入以及促循环产生成效5 个方面,以期为我国“车能路云”高质量发展提供参考,推动汽车强国、交通强国、制造强国的建设。

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参考文献

[ 1 ] 王云鹏. 国内外ITS系统发展的历程和现状 [J]. 汽车零部件, 2012 (6): 36.
Wang Y P. The development history and present situation of ITS system at home and abroad [J]. Automobile Parts, 2012 (6): 36.

[ 2 ] 梅芳芳, 程莉芸, 周春梅‍. C-V2X车联网技术现状及发展前景研究 [J]. 通信与信息技术, 2022 (S2): 32‒35.
Mei F F, Cheng L Y, Zhou C M. Research on the current status and development prospects of C-V2X Internet of vehicles technology [J]. Communication & Information Technology, 2022 (S2): 32‒35.

[ 3 ] 李克强‍. 智能网联汽车云控基础平台及其实现 [C]. 北京: 首届车路协同自动驾驶国际论坛, 2018.
Li K Q. Cloud control basic platform for intelligent and connected vehicles and its application [C]. Beijing: First International Forum on Connected and Automated Vehicle Highway Systems, 2018.

[ 4 ] 段杰文‍. 智能网联汽车云平台和大数据分析 [J]. 汽车电器, 2020 (6): 8‒9.
Duan J W. Cloud platform and big data analysis of intelligent vehicle network [J]. Auto Electric Parts, 2020 (6): 8‒9.

[ 5 ] 中国汽车工程学会‍. 节能与新能源汽车技术路线图2.0 [M]. 北京: 机械工业出版社, 2020.
China Society of Automotive Engineers. Technology roadmap for energy saving and new energy vehicles 2.0 [M]. Beijing: China Machine Press, 2020.

[ 6 ] 国家智能网联汽车创新中心‍. 智能网联汽车技术路线图2.0 [R]. 北京: 国家智能网联汽车创新中心, 2020.
National Innovation Center of Intelligent and Connected Vehicles. Technology roadmap for intelligent and connected vehicle 2.0 [R]. Beijing: National Innovation Center of Intelligent and Connected Vehicles, 2020.

[ 7 ] 李克强, 李家文, 常雪阳, 等‍. 智能网联汽车云控系统原理及其典型应用 [J]. 汽车安全与节能学报, 2020, 11(3): 261‒275.
Li K Q, Li J W, Chang X Y, et al. Principles and typical applications of cloud control system for intelligent and connected vehicles [J]. Journal of Automotive Safety and Energy, 2020, 11(3): 261‒275.

[ 8 ] 陈哲‍. 能源行业 吹响变革号角 [J]. 成才与就业, 2023 (10): 14‒15.
Chen Z. The energy industry blows the horn of change [J]. Career Development, 2023 (10): 14‒15.

[ 9 ] 寇凌峰, 张颖, 季宇, 等‍. 分布式储能的典型应用场景及运营模式分析 [J]. 电力系统保护与控制, 2020, 48(4): 177‒187.
Kou L F, Zhang Y, Ji Y, et al. Typical application scenario and operation mode analysis of distributed energy storage [J]. Power System Protection and Control, 2020, 48(4): 177‒187.

[10] 吴晓海‍. 电动汽车充电基础设施规划研究 [J]. 智能建筑电气技术, 2021, 15(5): 49‒54, 57.
Wu X H. Research on EV charging infrastructure planning [J]. Electrical Technology of Intelligent Buildings, 2021, 15(5): 49‒54, 57.

[11] 谢小荣, 马宁嘉, 刘威, 等‍. 新型电力系统中储能应用功能的综述与展望 [J]. 中国电机工程学报, 2023, 43(1): 158‒169.
Xie X R, Ma N J, Liu W, et al. Functions of energy storage in renewable energy dominated power systems: Review and prospect [J]. Proceedings of the CSEE, 2023, 43(1): 158‒169.

[12] 董治新, 韩雅萱, 杨丽, 等‍. “源 ‒ 网 ‒ 荷 ‒ 储”互动下适应多元主体需求的灵活性交易机制研究 [J/OL]. 现代电力: 1‒10[2024-01-13]. https://doi.org/10.19725/j.cnki.1007 -2322.2022.0289.
Dong Z X, Han Y X, Yang L, et al. Research on flexible trading mechanism catering to requirements of multiple entities under "generation‒grid‒load‒storage" interaction [J/OL]. Modern Electric Power: 1‒10[2024-01-13]. https://doi.org/10.19725/j.cnki.1007-2322.2022.0289.

[13] 中国汽车工业协会‍. 2023中国汽车工业产销报告 [R]. 北京: 中国汽车工业协会, 2024.
China Association of Automobile Manufacturers. 2023 China automotive industry production and sales report [R]. Beijing: China Association of Automobile Manufacturers, 2024.

[14] 王志远‍. "车能路云"融合发展: 汽车产业的"中国方案" [N]. 中国青年报, 2023-09-07(11).
Wang Z Y. Integrated development of vehicle‒energy‒road‒cloud: The Chinese plan for the automotive industry [N]. China Youth Daily, 2023-09-07(11).

[15] 温昕‍. 高通李俨: 利用C-V2X技术改善未来交通环境 [J]. 智能网联汽车, 2023 (6): 40‒42.
Wen X. Qualcomm Li Yan: Using C-V2X technology to improve the future traffic environment [J]. Intelligent Connected Vehicles, 2023 (6): 40‒42.

[16] 靳欣欣. C-V2X的意义、关键技术及通信技术发展趋势分析 [J]. 互联网天地, 2020 (8): 25‒34.
Jin X X. The significance, key technologies and development trend of communication technology of C-V2X [J]. China Internet, 2020 (8): 25‒34.

[17] 创新成果日新月异 汽车"下半场"谁能胜出? [J]. 智能网联汽车, 2023 (4): 83‒85.
Innovative achievements are advancing rapidly, who can win in the second half of the automotive industry? [J]. Intelligent Networked Vehicles, 2023 (4): 83‒85.

[18] Duan J F, Yu S, Tan H L, et al. A survey of embodied AI: From simulators to research tasks [J]. IEEE Transactions on Emerging Topics in Computational Intelligence, 2022, 6(2): 230‒244.

[19] Vaswani A, Shazeer N, Parmar N, et al. Attention is all you need [C]. Long Beach: The 31st International Conference on Neural Information Processing Systems, 2017.

[20] Liu Z, Lin Y T, Cao Y, et al. Swin transformer: Hierarchical vision transformer using shifted windows [C]. Montreal: 2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021.

[21] Hu Y H, Yang J Z, Chen L, et al. Planning-oriented autonomous driving [C]. Vancouver: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.

[22] 挑战与机遇并存"双碳": 目标引领汽车产业变革 [J]. 大社会, 2021 (10): 10‒11.
Challenges and opportunities coexist "double carbon" goal leading the transformation of automobile industry [J]. Dashehui Magazine, 2021 (10): 10‒11.

[23] 王震坡, 黎小慧, 孙逢春‍. 产业融合背景下的新能源汽车技术发展趋势 [J]. 北京理工大学学报, 2020, 40(1): 1‒10.
Wang Z P, Li X H, Sun F C. Development trends of new energy vehicle technology under industrial integration [J]. Transactions of Beijing Institute of Technology, 2020, 40(1): 1‒10.

[24] 胡江溢, 杨高峰, 宋兆欧, 等‍. 支持新型储能发展的国际政策与中国发展模式探讨 [J/OL]. 电网技术: 1‒11[2024-01-13]. https://doi.org/10.13335/j.1000-3673.pst.2023.1577.
Hu J Y, Yang G F, Song Z O, et al. Preliminary discussion on the supporting policies and the China´s development model of the new energy storage [J/OL]. Power System Technology: 1‒11[2024-01-13]. https://doi.org/10.13335/j.1000-3673.pst.2023.1577.

[25] 孙小程. "车能路云"融合发展成大势所趋 [N]. 上海证券报, 2023-09-02(05).
Sun X C. The integration development of vehicle‒energy‒road‒cloud has become the general trend [N]. Shanghai Securities News, 2023-09-02(05).

[26] 李克强, 戴一凡, 李升波, 等‍. 智能网联汽车(ICV)技术的发展现状及趋势 [J]. 汽车安全与节能学报, 2017, 8(1): 1‒14.
Li K Q, Dai Y F, Li S B, et al. State-of-the-art and technical trends of intelligent and connected vehicles [J]. Journal of Automotive Safety and Energy, 2017, 8(1): 1‒14.

[27] 李克强‍. 我看智能网联汽车十年发展 [J]. 智能网联汽车, 2022 (3): 6‒9.
Li K Q. I see the ten-year development of intelligent networked cars [J]. Intelligent Connected Vehicles, 2022 (3): 6‒9.

[28] 温昕‍. 协力推动汽车芯片高质量发展 [J]. 智能网联汽车, 2023 (4): 49‒51.
Wen X. Work together to promote the high-quality development of automotive chips [J]. Intelligent Connected Vehicles, 2023 (4): 49‒51.

[29] Kempton W, Tomić J. Vehicle-to-grid power fundamentals: Calculating capacity and net revenue [J]. Journal of Power Sources, 2005, 144(1): 268‒279.

[30] 国家电网公司营销部‍. 电动汽车智能充换电服务网络建设与运营 [M]. 北京: 中国电力出版社, 2013.
Marketing Department of State Grid Corporation. Construction and operation of intelligent charging and swapping service network for electric vehicles [M]. Beijing: China Electric Power Press, 2013.

[31] 刘栋晨, 季昱, 胡岳‍. 交能融合V2G技术研究与实践综述 [J/OL]. 上海交通大学学报, 2023: 1‒25[2023-11-06]. https://kns.cnki.net/kcms/detail/31.1466.U.20231103.1552.004.html.
Liu D C, Ji Y, Hu Y. Summary of the research and practice on V2G technology of transportation and energy fusion [J/OL]. Journal of Shanghai Jiao Tong University, 2023: 1‒25[2023-11-06]. https://kns.cnki.net/kcms/detail/31.1466.U.20231103.1552.004.html.

[32] 宁剑, 江长明, 张哲, 等‍. 可调节负荷资源参与电网调控的思考与技术实践 [J]. 电力系统自动化, 2020, 44(17): 1‒8.
Ning J, Jiang C M, Zhang Z, et al. Thinking and technical practice of adjustable load resources participating in dispatching and control of power grid [J]. Automation of Electric Power Systems, 2020, 44(17): 1‒8.

[33] 田立亭, 程林, 郭剑波, 等‍. 虚拟电厂对分布式能源的管理和互动机制研究综述 [J]. 电网技术, 2020, 44(6): 2097‒2108.
Tian L T, Cheng L, Guo J B, et al. A review on the study of management and interaction mechanism for distributed energy in virtual power plants [J]. Power System Technology, 2020, 44(6): 2097‒2108.

[34] 赵轩, 张元星, 李斌, 等‍. 国内外车网互动试点成效分析与发展建议 [J]. 电力自动化设备, 2022, 42(10): 280‒292.
Zhao X, Zhang Y X, Li B, et al. Effect analysis and development suggestion of domestic and foreign vehicle grid integration pilots [J]. Electric Power Automation Equipment, 2022, 42(10): 280‒292.

[35] 张亚勤, 李震宇, 尚国斌, 等‍. 面向自动驾驶的车路云一体化框架 [J]. 汽车安全与节能学报, 2023, 14(3): 249‒273.
Zhang Y Q, Li Z Y, Shang G B, et al. A unified framework for vehicle‒infrastructure‒cloud autonomous driving [J]. Journal of Automotive Safety and Energy, 2023, 14(3): 249‒273.

[36] 傅志寰, 翁孟勇, 张晓璇, 等‍. 我国智慧公路发展战略研究 [J]. 中国工程科学, 2023, 25(6): 150‒159.
Fu Z H, Weng M Y, Zhang X X, et al. Development strategy of smart highways in China [J]. Strategic Study of CAE, 2023, 25(6): 150‒159.

[37] 中国公路学会‍. 中国智慧公路发展报告(2022) [R]. 北京: 中国公路学会, 2023.
China Highway and Transportation Society. Report on the development of smart highways in China (2022) [R]. Beijing: China Highway and Transportation Society, 2023.

[38] 韩鑫‍. 我国公路总里程10年增长112万公里 [N]. 人民日报, 2023-11-24(10).
Han X. The total length of highways in China has increased by 1.12 million kilometers in 10 years [N]. People´s Daily, 2023-11-24(10).

[39] 王鹤. 车路协同助力自动驾驶 [N]. 经济参考报, 2022-11-04(07).
Wang H. Vehicle‒road collaboration helps autonomous driving [N]. Economic Information Daily, 2022-11-04(07).

[40] 李克强, 常雪阳, 李家文, 等‍. 智能网联汽车云控系统及其实现 [J]. 汽车工程, 2020, 42(12): 1595‒1605.
Li K Q, Chang X Y, Li J W, et al. Cloud control system for intelligent and connected vehicles and its application [J]. Automotive Engineering, 2020, 42(12): 1595‒1605.

[41] 丁飞, 张楠, 李升波, 等‍. 智能网联车路云协同系统架构与关键技术研究综述 [J]. 自动化学报, 2022, 48(12): 2863‒2885.
Ding F, Zhang N, Li S B, et al. A survey of architecture and key technologies of intelligent connected vehicle‒road‒cloud cooperation system [J]. Acta Automatica Sinica, 2022, 48(12): 2863‒2885.

[42] 吕红星. 顶层设计跟进新能源汽车迎来重大利好 [N]. 中国经济时报, 2023-06-05(01).
Lyu H X. The top-level design follow-up of new energy vehicles ushered in a major benefit [N]. China Economic Times, 2023-06-05(01).

[43] 马艳‍. “缺芯贵电”成痛点新能源汽车产业链抗风险能力仍不足 [N]. 中国工业报, 2022-11-25(A4).
Ma Y. "Lack of core and expensive electricity" has become a pain point and the anti-risk ability of the electric vehicle industry chain is still insufficient [N]. China Industry News, 2022-11-25(A4).

[44] 周时莹, 梁贵友, 王德平, 等‍. 智能网联汽车操作系统发展趋势及国产化生态建设 [J]. 汽车技术, 2023 (11): 1‒7.
Zhou S Y, Liang G Y, Wang D P, et al. Development trends of operation system and localized ecological construction for intelligent and connected vehicles [J]. Automobile Technology, 2023 (11): 1‒7.

[45] 汪志鸿, 于德营, 马天泽, 等‍. 车用操作系统技术现状及发展趋势 [J]. 汽车工程, 2023, 45(6): 910‒921.
Wang Z H, Yu D Y, Ma T Z, et al. Technical status and development trend of automotive operating system [J]. Automotive Engineering, 2023, 45(6): 910‒921.

[46] 高驰‍. 把脉中国汽车产业发展方向 [J]. 汽车与配件, 2023 (22): 46‒47.
Gao C. Pulse the development direction of China automobile industry [J]. Automobile & Parts, 2023 (22): 46‒47.

[47] 程翔, 张浩天, 杨宗辉, 等‍. 车联网通信感知一体化研究: 现状与发展趋势 [J]. 通信学报, 2022, 43(8): 188‒202.
Cheng X, Zhang H T, Yang Z H, et al. Integrated sensing and communications for Internet of vehicles: Current status and development trend [J]. Journal on Communications, 2022, 43(8): 188‒202.

[48] 邢佳韵, 陈其慎, 张艳飞, 等‍. 我国锂及其下游动力电池产业链发展探讨 [J]. 中国工程科学, 2022, 24(3): 10‒19.
Xing J Y, Chen Q S, Zhang Y F, et al. Development of lithium and its downstream power battery industry chain in China [J]. Strategic Study of CAE, 2022, 24(3): 10‒19.

[49] 魏一凡, 韩雪冰, 卢兰光, 等‍. 面向碳中和的新能源汽车与车网互动技术展望 [J]. 汽车工程, 2022, 44(4): 444, 449‒464.
Wei Y F, Han X B, Lu L G, et al. Technology prospects of carbon neutrality-oriented new-energy vehicles and vehicle-grid interaction [J]. Automotive Engineering, 2022, 44(4): 444, 449‒464.

[50] 唐诗华‍. 智能网联汽车发展政策与标准体系探究 [J]. 质量与认证, 2023 (10): 41‒43.
Tang S H. Exploring the policy and standard system for the development of intelligent networked vehicles [J]. China Quality Certification, 2023 (10): 41‒43.

[51] 曾少旭, 黄欣, 吴冬升‍. 车联网产业标准发展态势挑战和建议 [J]. 智能网联汽车, 2023 (5): 40‒43.
Zeng S X, Huang X, Wu D S. Development trend, challenges and suggestions of vehicle networking industry standards [J]. Intelligent Connected Vehicles, 2023 (5): 40‒43.

[52] 张佩, 颜伏伍, 侯献军, 等‍. 面向产业变革的新能源汽车人才培养模式改革 [J]. 武汉理工大学学报(信息与管理工程版), 2022, 44(4): 669‒673.
Zhang P, Yan F W, Hou X J, et al. Reform of new energy vehicles talent training mode for industrial transformation [J]. Journal of Wuhan University of Technology (Information & Management Engineering), 2022, 44(4): 669‒673.

[53] 王辉‍. 新能源汽车产业背景下的车辆工程专业人才培养变革 [J]. 时代汽车, 2022 (3): 32‒33.
Wang H. Training reform of vehicle engineering professionals under the background of new energy vehicle industry [J]. Auto Time, 2022 (3): 32‒33.

[54] 唐小军, 章立辉, 兰凤民‍. 以京雄、延崇高速公路为例谈智慧高速公路的发展对策 [J]. 公路, 2022, 67(4): 250‒255.
Tang X J, Zhang L H, Lan F M. Discussions on the development strategy of smart expressway based on the Beijing-Xiong´an and Yanqing-Chongli expressway [J]. Highway, 2022, 67(4): 250‒255.

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