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As the automotive industry accelerates its transformation towards intelligence, electrification, sharing, and connectivity, traditional reverse engineering development models have proven inadequate for addressing the demands of complex functional integration and new vehicle configurations. Forward vehicle design has consequently emerged as a critical pathway for driving technological innovation. This paper systematically reviews the evolution of automotive design methodologies, technological breakthroughs, and key challenges. It highlights the advantages of the traditional V-model development process in performance balancing and styling design. However, intelligent vehicle design employs model-based systems engineering methods to achieve deep interdisciplinary integration and optimizes virtual-physical collaborative design through digital twin technology, thereby significantly improving development efficiency. The paper identifies that software-defined vehicles, modular flexible design, and distributed electric drive technologies have driven innovation in chassis configurations. Notably, integrated design has demonstrated significant results in the fusion of structure, safety, and cabin driving. Nevertheless, key bottlenecks remain, including the complexity of technological integration, the lag in dynamic modeling theory, and the underdeveloped domestic industrial software ecosystem. To address these challenges, the paper proposes the establishment of an innovative system for vehicle forward design centered on model-based systems engineering. It further advocates for strengthening unified dynamic modeling and multi-objective collaborative control theories for modular re-configurable vehicles. Additionally, the paper calls for greater collaboration among government, industry, academia, and research institutions to break through core industrial software technologies, thus enhancing the domestic computer-aided design tool chain ecosystem and advancing technological innovation within the automotive sector.

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随着汽车行业加速向智能化、电动化、共享化与网联化转型,传统逆向开发模式难以适应复杂功能集成与新型构型需求,整车正向设计成为推动技术革新的核心路径。文章系统梳理了汽车设计方法的演进脉络、技术突破及关键挑战,指出了传统V型开发流程在性能平衡与造型设计上具备优势,但智能汽车通过基于模型的系统工程方法实现跨学科深度集成,结合数字孪生技术优化虚实协同设计,显著提升开发效率。软件定义汽车、模块化柔性化设计及分布式电驱动技术推动了底盘构型革新,一体化设计在结构、安全与舱驾融合领域成效显著,但技术整合复杂度、动力学理论滞后与国产工具软件生态薄弱成为主要瓶颈,建议构建以基于模型的系统工程方法为核心的整车正向设计创新体系,强化模块化可重构车辆的统一动力学建模与多目标协同控制理论,并通过政产学研协同突破工业软件核心技术,完善国产计算辅助设计工具链生态。

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朱学斌,研究员,北京航天发射技术研究所科技委主任。主要从事航天发射技术和特种车辆研究工作。主持多个国家重点型号特种车辆的研制任务,承担多项装备预先研究课题、国家自然科学基金重大项目子课题、地方政府军民融合重大专项。获国防科学技术进步奖一等奖1项、三等奖1项。电子信箱:

, authorsList=朱学斌, 张军伟, 孙博华, 白影春, 王洪亮, 吴建洋, 朱炳辉, 陈肇群)}, authors=[Author(id=1242114557620064409, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1148708271441109935, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=zhxb@vip.sina.com, emailSecond=null, emailThird=null, correspondingAuthor=1, authorType=1, ext={EN=AuthorExt(id=1242114557678784667, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1148708271441109935, authorId=1242114557620064409, language=EN, stringName=Xuebin ZHU, firstName=Xuebin, middleName=null, lastName=ZHU, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=1, , address=1. Beijing Institute of Space Launch Technology, Beijing 100076, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1242114557733310620, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1148708271441109935, authorId=1242114557620064409, language=CN, stringName=朱学斌, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=1, , address=1.北京航天发射技术研究所,北京 100076, bio={"img":"+12MwRb7RCAG+FBM9sil5Q==","content":"

朱学斌,研究员,北京航天发射技术研究所科技委主任。主要从事航天发射技术和特种车辆研究工作。主持多个国家重点型号特种车辆的研制任务,承担多项装备预先研究课题、国家自然科学基金重大项目子课题、地方政府军民融合重大专项。获国防科学技术进步奖一等奖1项、三等奖1项。电子信箱:

"}, bioImg=+12MwRb7RCAG+FBM9sil5Q==, bioContent=

朱学斌,研究员,北京航天发射技术研究所科技委主任。主要从事航天发射技术和特种车辆研究工作。主持多个国家重点型号特种车辆的研制任务,承担多项装备预先研究课题、国家自然科学基金重大项目子课题、地方政府军民融合重大专项。获国防科学技术进步奖一等奖1项、三等奖1项。电子信箱:

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However, the properties of non-linearity and multi-dimensional coupled dynamics are significantly enhanced in extreme working conditions. The requirements of system modeling and adaptability and robustness of motion control algorithm are further increased. At the same time, in order to deal with the multi-objective coordination in complex scenarios, the integration of motion planning and control considering environmental uncertainty needs to be studied in depth. Adding actuators can increase the lateral response speed and control margin, but the research of control allocation of redundant and heterogeneous actuators is still to be broken through. The realization of motion control depends on road adhesion coefficient, sideslip angle, etc. Therefore, it is urgent to solve the problem of key state and parameter estimation under multi-source sensor information fusion. 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Development path of China’s industrial software industry in the new era[J]. Strategic Study of CAE, 2022, 24(2): 86-95. (in Chinese), articleTitle=Development path of China’s industrial software industry in the new era, refAbstract=

The industrial software industry is an important support for the high-quality development of the manufacturing industry. Against the background of strengthening China’s manufacturing industry in the new era, industrial software is becoming a direct driving force for optimizing manufacturing and management processes, transforming production methods and relations, improving total-factor productivity, and promoting the spillover and transformation of advanced industrial technologies. China is currently building an independent, controllable, safe, and efficient modern industrial system, which not only challenges the original “technology– production–market” division of labor, but also creates important opportunities for the development of the industrial software industry. Considering the current international market structure, this paper analyzes the basic characteristics and market share of industrial software products, analyzes the shortcomings and problems of China’s industrial software industry development, and summarizes two new development trends of the industrial software industry: platform-based and open source development. Based on this, we propose the following three development paths: (1) improving weak links while strengthening basic research, (2) making technical breakthroughs to catch up with the international advanced level, and (3) leading the development with frontier technologies, hoping to address the industrial deficiencies and improve the industrial level. Furthermore, we propose several suggestions. First, the organizational model should be optimized to maximize the leading role of industrial enterprises. Second, the policy objects should be refined to promote the breakthrough of key technologies regarding industrial software at different levels. Third, the application market needs to be expanded to promote the innovation of industrial software products. Fourth, it is necessary to tap the potentials of talents and support the cultivation of industrial software talents through multiple channels.

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BfBmBr为重构后前、中、后轴轮距;ΔBf、ΔBm、ΔBr为前、中、后轴轮距变化量;Bf0Bm0Br0为重构前前、中、后轴轮距初始量;lflmlr为重构后前、中、后轴轴距;lf0lr0为重构前前、后轴轴距;Δl为轴距变化量;mw为重构单元的质量;M为重构后车辆总质量。

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Development and Prospect of Forward Design Technology for Automotive Vehicles
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Xuebin ZHU 1, , Junwei ZHANG 1 , Bohua SUN 2 , Yingchun BAI 3 , Hongliang WANG 4 , Jianyang WU 1 , Binghui ZHU 1 , Zhaoqun CHEN 1
Science and Technology Foresight | Review and Commentary 2025,4(2): 46-57
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Science and Technology Foresight | Review and Commentary 2025, 4(2): 46-57
Development and Prospect of Forward Design Technology for Automotive Vehicles
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Xuebin ZHU1, , Junwei ZHANG1, Bohua SUN2, Yingchun BAI3, Hongliang WANG4, Jianyang WU1, Binghui ZHU1, Zhaoqun CHEN1
Authors
  • 1. Beijing Institute of Space Launch Technology, Beijing 100076, China
  • 2. College of Automotive Engineering, Jilin University, Changchun 130012, China
  • 3. School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China
  • 4. School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China

Corresponding author:

Development and Prospect of Forward Design Technology for Automotive Vehicles
Xuebin ZHU1, , Junwei ZHANG1, Bohua SUN2, Yingchun BAI3, Hongliang WANG4, Jianyang WU1, Binghui ZHU1, Zhaoqun CHEN1
Affiliations
  • 1. Beijing Institute of Space Launch Technology, Beijing 100076, China
  • 2. College of Automotive Engineering, Jilin University, Changchun 130012, China
  • 3. School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China
  • 4. School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
Published: 2025-06-20 doi: 10.3981/j.issn.2097-0781.2025.02.004
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As the automotive industry accelerates its transformation towards intelligence, electrification, sharing, and connectivity, traditional reverse engineering development models have proven inadequate for addressing the demands of complex functional integration and new vehicle configurations. Forward vehicle design has consequently emerged as a critical pathway for driving technological innovation. This paper systematically reviews the evolution of automotive design methodologies, technological breakthroughs, and key challenges. It highlights the advantages of the traditional V-model development process in performance balancing and styling design. However, intelligent vehicle design employs model-based systems engineering methods to achieve deep interdisciplinary integration and optimizes virtual-physical collaborative design through digital twin technology, thereby significantly improving development efficiency. The paper identifies that software-defined vehicles, modular flexible design, and distributed electric drive technologies have driven innovation in chassis configurations. Notably, integrated design has demonstrated significant results in the fusion of structure, safety, and cabin driving. Nevertheless, key bottlenecks remain, including the complexity of technological integration, the lag in dynamic modeling theory, and the underdeveloped domestic industrial software ecosystem. To address these challenges, the paper proposes the establishment of an innovative system for vehicle forward design centered on model-based systems engineering. It further advocates for strengthening unified dynamic modeling and multi-objective collaborative control theories for modular re-configurable vehicles. Additionally, the paper calls for greater collaboration among government, industry, academia, and research institutions to break through core industrial software technologies, thus enhancing the domestic computer-aided design tool chain ecosystem and advancing technological innovation within the automotive sector.

vehicle forward design  /  new chassis configuration  /  modular distributed electric drive  /  new automotive safety system  /  domestic tool software

As the automotive industry accelerates its transformation towards intelligence, electrification, sharing, and connectivity, traditional reverse engineering development models have proven inadequate for addressing the demands of complex functional integration and new vehicle configurations. Forward vehicle design has consequently emerged as a critical pathway for driving technological innovation. This paper systematically reviews the evolution of automotive design methodologies, technological breakthroughs, and key challenges. It highlights the advantages of the traditional V-model development process in performance balancing and styling design. However, intelligent vehicle design employs model-based systems engineering methods to achieve deep interdisciplinary integration and optimizes virtual-physical collaborative design through digital twin technology, thereby significantly improving development efficiency. The paper identifies that software-defined vehicles, modular flexible design, and distributed electric drive technologies have driven innovation in chassis configurations. Notably, integrated design has demonstrated significant results in the fusion of structure, safety, and cabin driving. Nevertheless, key bottlenecks remain, including the complexity of technological integration, the lag in dynamic modeling theory, and the underdeveloped domestic industrial software ecosystem. To address these challenges, the paper proposes the establishment of an innovative system for vehicle forward design centered on model-based systems engineering. It further advocates for strengthening unified dynamic modeling and multi-objective collaborative control theories for modular re-configurable vehicles. Additionally, the paper calls for greater collaboration among government, industry, academia, and research institutions to break through core industrial software technologies, thus enhancing the domestic computer-aided design tool chain ecosystem and advancing technological innovation within the automotive sector.

vehicle forward design  /  new chassis configuration  /  modular distributed electric drive  /  new automotive safety system  /  domestic tool software
朱学斌, 张军伟, 孙博华, 白影春, 王洪亮, 吴建洋, 朱炳辉, 陈肇群. 汽车整车正向设计技术发展与展望[J]. 前瞻科技, 2025 , 4 (2) : 115 -173 . DOI: 10.3981/j.issn.2097-0781.2025.02.004
Xuebin ZHU, Junwei ZHANG, Bohua SUN, Yingchun BAI, Hongliang WANG, Jianyang WU, Binghui ZHU, Zhaoqun CHEN. Development and Prospect of Forward Design Technology for Automotive Vehicles[J]. Science and Technology Foresight, 2025 , 4 (2) : 115 -173 . DOI: 10.3981/j.issn.2097-0781.2025.02.004
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doi: 10.3981/j.issn.2097-0781.2025.02.004
  • Received:2024-12-20
  • Published:2025-06-20
  • Release:2025-06-26
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  • 收稿日期:2024-12-20
  • 修回日期:2025-02-23
基金
国家自然科学基金(52394265)
Authors
    1. Beijing Institute of Space Launch Technology, Beijing 100076, China
    2. College of Automotive Engineering, Jilin University, Changchun 130012, China
    3. School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China
    4. School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China

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朱学斌, 张军伟, 孙博华, 白影春, 王洪亮, 吴建洋, 朱炳辉, 陈肇群. 汽车整车正向设计技术发展与展望[J]. 前瞻科技, 2025 , 4 (2) : 115 -173 . DOI: 10.3981/j.issn.2097-0781.2025.02.004
Xuebin ZHU, Junwei ZHANG, Bohua SUN, Yingchun BAI, Hongliang WANG, Jianyang WU, Binghui ZHU, Zhaoqun CHEN. Development and Prospect of Forward Design Technology for Automotive Vehicles[J]. Science and Technology Foresight, 2025 , 4 (2) : 115 -173 . DOI: 10.3981/j.issn.2097-0781.2025.02.004
表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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