Pub Date : 2020-12-18DOI: 10.1109/CVCI51460.2020.9338605
Xinyue Wang, Jiangyan Zhang, Rubo Zhang
This paper proposes a real-time energy optimization algorithm for hybrid electric vehicles that operates in a platoon using constant headway control strategy. The driving power of a hybrid electric vehicle can be distributed between the electric motor and the combustion engine. The power distribution makes evaluable energy efficient improvement. Combining the control strategy proposed by a classic cooperative adaptive cruise control (CACC) algorithm, an optimal energy management strategy is evaluated for the host vehicle in a platoon. Through the establishment of simulation experiments, the string stability and real-time energy optimization performance of the control system are verified.
{"title":"Energy Management of HEV in Platoon Operation with Constant Headway Policy","authors":"Xinyue Wang, Jiangyan Zhang, Rubo Zhang","doi":"10.1109/CVCI51460.2020.9338605","DOIUrl":"https://doi.org/10.1109/CVCI51460.2020.9338605","url":null,"abstract":"This paper proposes a real-time energy optimization algorithm for hybrid electric vehicles that operates in a platoon using constant headway control strategy. The driving power of a hybrid electric vehicle can be distributed between the electric motor and the combustion engine. The power distribution makes evaluable energy efficient improvement. Combining the control strategy proposed by a classic cooperative adaptive cruise control (CACC) algorithm, an optimal energy management strategy is evaluated for the host vehicle in a platoon. Through the establishment of simulation experiments, the string stability and real-time energy optimization performance of the control system are verified.","PeriodicalId":119721,"journal":{"name":"2020 4th CAA International Conference on Vehicular Control and Intelligence (CVCI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120835444","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-12-18DOI: 10.1109/CVCI51460.2020.9338496
Kan Wang, Haoran Liu, Jie Zeng, Chengyong Niu, Fei Cao, J. Ji
Vehicle chain collision is considered to be one of the main causes that lead to serious casualties and reduce traffic efficiency. In this paper, the dynamic process of chain collision is investigated based on the virtual mass-spring-damper (MSD) model, and the ideal values of virtual spring constant and damping coefficient are determined for collision avoidance by optimization method. Simulations have been performed when a vehicle slows down suddenly on a single-lane road, and the causes that lead to chain collision have been discussed. It can be seen from the simulation results that connected vehicles break the trend of decreasing inter-vehicle spacing as it propagates down the line of platoon, and the probability of chain collisions in the vehicular platoon is reduced and the overall safety of the platoon is improved.
{"title":"Analysis and Prevention of Chain Collision in Traditional and Connected Vehicular Platoon","authors":"Kan Wang, Haoran Liu, Jie Zeng, Chengyong Niu, Fei Cao, J. Ji","doi":"10.1109/CVCI51460.2020.9338496","DOIUrl":"https://doi.org/10.1109/CVCI51460.2020.9338496","url":null,"abstract":"Vehicle chain collision is considered to be one of the main causes that lead to serious casualties and reduce traffic efficiency. In this paper, the dynamic process of chain collision is investigated based on the virtual mass-spring-damper (MSD) model, and the ideal values of virtual spring constant and damping coefficient are determined for collision avoidance by optimization method. Simulations have been performed when a vehicle slows down suddenly on a single-lane road, and the causes that lead to chain collision have been discussed. It can be seen from the simulation results that connected vehicles break the trend of decreasing inter-vehicle spacing as it propagates down the line of platoon, and the probability of chain collisions in the vehicular platoon is reduced and the overall safety of the platoon is improved.","PeriodicalId":119721,"journal":{"name":"2020 4th CAA International Conference on Vehicular Control and Intelligence (CVCI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120994287","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-12-18DOI: 10.1109/CVCI51460.2020.9338559
Jie Li, Z. Lei, ZhiHang Chen, Zheng Chen, Yonggang Liu
with the development of intelligent and connected vehicles, a novel approach for energy-saving, i.e. eco-driving control, has attracted much attention from relative researchers. The combination of eco-driving control and plug-in hybrid electric vehicles provide an opportunity to achieve further energy-saving for transportation. In this paper, an optimal eco-driving control strategy is proposed for plug-in hybrid electric vehicles based on the neural network. In order to mitigate the huge computational cost of velocity optimization and powertrain control, an efficient hierarchical optimal control strategy is proposed. An artificial neural network is constructed for the modeling of optimal energy cost. This optimal energy cost model is applied as objective function in the solving of the optimal eco-driving problem. The simulation results show that the proposed method can improve fuel economy by 4.29-12.71%, compared with conventional eco-driving control strategy. The neural network based optimal energy cost model significantly heightens the computational efficiency, with small sacrifice for fuel economy compared to optimal bench mark.
{"title":"Optimal Eco-driving Control for Plug-in Hybrid Electric Vehicles Based on Neural Network","authors":"Jie Li, Z. Lei, ZhiHang Chen, Zheng Chen, Yonggang Liu","doi":"10.1109/CVCI51460.2020.9338559","DOIUrl":"https://doi.org/10.1109/CVCI51460.2020.9338559","url":null,"abstract":"with the development of intelligent and connected vehicles, a novel approach for energy-saving, i.e. eco-driving control, has attracted much attention from relative researchers. The combination of eco-driving control and plug-in hybrid electric vehicles provide an opportunity to achieve further energy-saving for transportation. In this paper, an optimal eco-driving control strategy is proposed for plug-in hybrid electric vehicles based on the neural network. In order to mitigate the huge computational cost of velocity optimization and powertrain control, an efficient hierarchical optimal control strategy is proposed. An artificial neural network is constructed for the modeling of optimal energy cost. This optimal energy cost model is applied as objective function in the solving of the optimal eco-driving problem. The simulation results show that the proposed method can improve fuel economy by 4.29-12.71%, compared with conventional eco-driving control strategy. The neural network based optimal energy cost model significantly heightens the computational efficiency, with small sacrifice for fuel economy compared to optimal bench mark.","PeriodicalId":119721,"journal":{"name":"2020 4th CAA International Conference on Vehicular Control and Intelligence (CVCI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129685529","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-12-18DOI: 10.1109/CVCI51460.2020.9338641
Bing Xie, Xingju Lu
In this paper, we focus on a self-adaptive network reconstruction problem in a distributed multi-agent system. In this system, the relationship among agents forms a complex network, in which each agent plays two roles, task execution and communication. As agents move, the topology of the relationship changes, which could reduce the system's performance. To guarantee the performance, we design a local centrality for evaluating the vitality of nodes in the network, and propose a distributed re-construction algorithm (DRA) based on the local centrality for re-constructing the dynamic network. To test the efficiency of DRA, we integrate DRA into our former proposed dynamic task allocation algorithm to form a new dynamic task allocation algorithm. The experiment shows that our new improved algorithm performs more efficiently when compared to other dynamic task allocation algorithms. The results illustrate the efficiency of reconstructed dynamic complex networks, which also indicates that the local centrality preforms efficient. Finally, we replace the local centrality with degree centrality and LocalRank in DRA and execute a series of experiments for performance evaluation. The results demonstrate the high efficiency of LC.
{"title":"A Distributed Algorithm Based on Local Centrality for Dynamic Social Network Re-construction in Multi-Agent Systems","authors":"Bing Xie, Xingju Lu","doi":"10.1109/CVCI51460.2020.9338641","DOIUrl":"https://doi.org/10.1109/CVCI51460.2020.9338641","url":null,"abstract":"In this paper, we focus on a self-adaptive network reconstruction problem in a distributed multi-agent system. In this system, the relationship among agents forms a complex network, in which each agent plays two roles, task execution and communication. As agents move, the topology of the relationship changes, which could reduce the system's performance. To guarantee the performance, we design a local centrality for evaluating the vitality of nodes in the network, and propose a distributed re-construction algorithm (DRA) based on the local centrality for re-constructing the dynamic network. To test the efficiency of DRA, we integrate DRA into our former proposed dynamic task allocation algorithm to form a new dynamic task allocation algorithm. The experiment shows that our new improved algorithm performs more efficiently when compared to other dynamic task allocation algorithms. The results illustrate the efficiency of reconstructed dynamic complex networks, which also indicates that the local centrality preforms efficient. Finally, we replace the local centrality with degree centrality and LocalRank in DRA and execute a series of experiments for performance evaluation. The results demonstrate the high efficiency of LC.","PeriodicalId":119721,"journal":{"name":"2020 4th CAA International Conference on Vehicular Control and Intelligence (CVCI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130766392","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
To improve the volume power density of proton exchange membrane fuel cell (PEMFC), a design of graphite bipolar plate straight channel characterized by narrow ribs is studied in this article. A three-dimensional multiphase model of PEMFC is employed to analyze the effects of the geometric parameters on the mass transfer characteristics and power density. The results show that smaller channel width and channel depth can enhance water removal and gas transport, which could increase the fuel cell performance. However, the influence of gas diffusion layer (GDL) thickness on fuel cell performance is not monotonous which means that there is an optimal value. The overall dimensions are optimized with volume power density as objective function. The best performance is obtained when the channel width, channel depth and GDL thickness are 0.1, 0.2 and 0.05 mm, respectively. Compared with the conventional channel design, the volume power density of optimal channel is significantly increased by 211.32% at 0.6 V.
{"title":"Optimization of channel dimensions and gas diffusion layer thickness based on mass transfer characteristics of proton exchange membrane fuel cell","authors":"Zhina Wang, Yujie Ding, Liangfei Xu, Zunyan Hu, Huize Liu, Jianqiu Li, Yishu Zhang, M. Ouyang","doi":"10.1109/CVCI51460.2020.9338549","DOIUrl":"https://doi.org/10.1109/CVCI51460.2020.9338549","url":null,"abstract":"To improve the volume power density of proton exchange membrane fuel cell (PEMFC), a design of graphite bipolar plate straight channel characterized by narrow ribs is studied in this article. A three-dimensional multiphase model of PEMFC is employed to analyze the effects of the geometric parameters on the mass transfer characteristics and power density. The results show that smaller channel width and channel depth can enhance water removal and gas transport, which could increase the fuel cell performance. However, the influence of gas diffusion layer (GDL) thickness on fuel cell performance is not monotonous which means that there is an optimal value. The overall dimensions are optimized with volume power density as objective function. The best performance is obtained when the channel width, channel depth and GDL thickness are 0.1, 0.2 and 0.05 mm, respectively. Compared with the conventional channel design, the volume power density of optimal channel is significantly increased by 211.32% at 0.6 V.","PeriodicalId":119721,"journal":{"name":"2020 4th CAA International Conference on Vehicular Control and Intelligence (CVCI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132053186","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-12-18DOI: 10.1109/CVCI51460.2020.9338542
Hang Li, Jianqiu Li, Jiayi Hu, Jingkang Li, Zunyan Hu, Liangfei Xu, M. Ouyang
The fuel cell hybrid electric vehicle (FCHEV) is a new type of vehicle with the advantages of high efficiency and environmental protection. As the government and society pay more and more attention to environmental and energy issues, the development of FCHEV has entered an important stage. The control algorithm of FCHEV is a key technology of new energy vehicles and requires research. This research mainly focuses on the power system modeling and the longitudinal dynamics control and simulation of FCHEV. Based on the tire model, a new slip ratio estimation strategy was proposed. The target drive torque control algorithm and the anti-slip control algorithm adopt the feedforward control and Proportional-integral feedback control. The hydraulic braking force and the regenerative braking force were distributed to ensure that the motor exerts the maximum regenerative braking capability, while the braking force distribution meets the requirements of the ECE braking regulations. On the MATLAB/Simulink software platform, a FCHEV power system model and a coordinated driving and braking control model were established. Through simulations in different working conditions, this paper proved the performance of the new slip ratio estimation algorithm and the feasibility of the dynamics control algorithm.
{"title":"Modeling and simulation of coordinated driving and braking control for fuel cell hybrid electric vehicle","authors":"Hang Li, Jianqiu Li, Jiayi Hu, Jingkang Li, Zunyan Hu, Liangfei Xu, M. Ouyang","doi":"10.1109/CVCI51460.2020.9338542","DOIUrl":"https://doi.org/10.1109/CVCI51460.2020.9338542","url":null,"abstract":"The fuel cell hybrid electric vehicle (FCHEV) is a new type of vehicle with the advantages of high efficiency and environmental protection. As the government and society pay more and more attention to environmental and energy issues, the development of FCHEV has entered an important stage. The control algorithm of FCHEV is a key technology of new energy vehicles and requires research. This research mainly focuses on the power system modeling and the longitudinal dynamics control and simulation of FCHEV. Based on the tire model, a new slip ratio estimation strategy was proposed. The target drive torque control algorithm and the anti-slip control algorithm adopt the feedforward control and Proportional-integral feedback control. The hydraulic braking force and the regenerative braking force were distributed to ensure that the motor exerts the maximum regenerative braking capability, while the braking force distribution meets the requirements of the ECE braking regulations. On the MATLAB/Simulink software platform, a FCHEV power system model and a coordinated driving and braking control model were established. Through simulations in different working conditions, this paper proved the performance of the new slip ratio estimation algorithm and the feasibility of the dynamics control algorithm.","PeriodicalId":119721,"journal":{"name":"2020 4th CAA International Conference on Vehicular Control and Intelligence (CVCI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133568426","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Bidirectional single-stage isolated matrix converter(BSMIC) has a great application prospect in battery testing and electric vehicles charging systems with the advantages of wide power transfer range and high efficiency. In battery testing systems, it also needs a fast dynamic response. This paper proposes a hybrid modulation and control strategy to realize the fast dynamic response. A hybrid modulation strategy is proposed, which consists of a seven-segments space vectors pulse wide modulation(SS-SVPWM) for the matrix converter semi-stage and a phase-shift modulation for the H-bridge semi-stage. Then, a dual-loop control strategy is proposed. Both modulation ratio and phase-shift angle are used to control the output current. Finally, simulation results verify the effectiveness of the proposed modulation and control strategy.
{"title":"Fast Dynamic Response Control for Bidirectional Single-stage Isolated Matrix Converter","authors":"Xiangjie Li, Bin Duan, Jinqiu Song, Yifeng Li, Dongxiang Wan, Chenghui Zhang","doi":"10.1109/CVCI51460.2020.9338646","DOIUrl":"https://doi.org/10.1109/CVCI51460.2020.9338646","url":null,"abstract":"Bidirectional single-stage isolated matrix converter(BSMIC) has a great application prospect in battery testing and electric vehicles charging systems with the advantages of wide power transfer range and high efficiency. In battery testing systems, it also needs a fast dynamic response. This paper proposes a hybrid modulation and control strategy to realize the fast dynamic response. A hybrid modulation strategy is proposed, which consists of a seven-segments space vectors pulse wide modulation(SS-SVPWM) for the matrix converter semi-stage and a phase-shift modulation for the H-bridge semi-stage. Then, a dual-loop control strategy is proposed. Both modulation ratio and phase-shift angle are used to control the output current. Finally, simulation results verify the effectiveness of the proposed modulation and control strategy.","PeriodicalId":119721,"journal":{"name":"2020 4th CAA International Conference on Vehicular Control and Intelligence (CVCI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133576094","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In order to shorten the power interruption time of the automobile AMT shift process, and restrain the shift shock, aiming at the control problem of the shifting actuator, the AMT variable parameter shift process control strategy is proposed. This method divides the shift process into three stages according to the synchronizer working characteristics, and adopts different control strategies. According to the fuzzy control theory, the fuzzy criterion rules are established to automatically determine the stage boundary point of the synchronizer shift process, and adopt different motor shift control strategies at each stage. It monitors whether the shift process is normal by means of redundant judgment. The test results show that this method can effectively shorten the shift time.
{"title":"Research on the Control Method of Auto AMT Variable Parameter Shift Process","authors":"Haonan Zhang, Youkun Zhang, Jianhua Wang, Zhifei Xue","doi":"10.1109/CVCI51460.2020.9338565","DOIUrl":"https://doi.org/10.1109/CVCI51460.2020.9338565","url":null,"abstract":"In order to shorten the power interruption time of the automobile AMT shift process, and restrain the shift shock, aiming at the control problem of the shifting actuator, the AMT variable parameter shift process control strategy is proposed. This method divides the shift process into three stages according to the synchronizer working characteristics, and adopts different control strategies. According to the fuzzy control theory, the fuzzy criterion rules are established to automatically determine the stage boundary point of the synchronizer shift process, and adopt different motor shift control strategies at each stage. It monitors whether the shift process is normal by means of redundant judgment. The test results show that this method can effectively shorten the shift time.","PeriodicalId":119721,"journal":{"name":"2020 4th CAA International Conference on Vehicular Control and Intelligence (CVCI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132525848","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-12-18DOI: 10.1109/CVCI51460.2020.9338639
Qing Wang, Jianqiu Li, Y. Bu, Liangfei Xu, Yujie Ding, Zunyan Hu, Ruimin Liu, Yunfei Xu, Zhidong Qin
In this paper, the advantages and disadvantages of compressed gaseous hydrogen system and liquid hydrogen system are compared and analyzed from the perspective of hydrogen storage density and energy consumption. It is proved that on-board liquid hydrogen system is the most economical and efficient and environmentally friendly choice for heavy-duty trucks which are running continuously at high speed and long distance. This paper also conducted a joint test of a large-capacity liquid hydrogen system and a fuel cell system. The results show that the on-board liquid hydrogen system can provide relatively stable pressure for the fuel cell stack at dynamic and steady-state conditions. The liquid hydrogen system is highly compatible with fuel cell system and can be applied to high-power fuel cell system. This study makes it promising to develop a new generation of heavy-duty fuel cell truck with long driving range, high load capacity and high power.
{"title":"Technical assessment and feasibility validation of liquid hydrogen storage and supply system for heavy-duty fuel cell truck","authors":"Qing Wang, Jianqiu Li, Y. Bu, Liangfei Xu, Yujie Ding, Zunyan Hu, Ruimin Liu, Yunfei Xu, Zhidong Qin","doi":"10.1109/CVCI51460.2020.9338639","DOIUrl":"https://doi.org/10.1109/CVCI51460.2020.9338639","url":null,"abstract":"In this paper, the advantages and disadvantages of compressed gaseous hydrogen system and liquid hydrogen system are compared and analyzed from the perspective of hydrogen storage density and energy consumption. It is proved that on-board liquid hydrogen system is the most economical and efficient and environmentally friendly choice for heavy-duty trucks which are running continuously at high speed and long distance. This paper also conducted a joint test of a large-capacity liquid hydrogen system and a fuel cell system. The results show that the on-board liquid hydrogen system can provide relatively stable pressure for the fuel cell stack at dynamic and steady-state conditions. The liquid hydrogen system is highly compatible with fuel cell system and can be applied to high-power fuel cell system. This study makes it promising to develop a new generation of heavy-duty fuel cell truck with long driving range, high load capacity and high power.","PeriodicalId":119721,"journal":{"name":"2020 4th CAA International Conference on Vehicular Control and Intelligence (CVCI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115003210","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In order to improve the accuracy of the expression of the design concept of ICV, this paper puts forward a metaphor mapping method between ICV design concept and multi-sensory design elements, analyzes the metaphor mapping principle between the design concept and multi-sensory design elements, establishes a mathematical model based on the “entropy method” for the metaphor mapping between the design concept of ICV and multi-sensory design elements, and designs the vehicle design concept and multi-sensory design elements The system and device of metaphorical mapping of multi-sensory design elements verify the feasibility of the proposed method with the mapping process of design concept and multi-sensory design elements in the forward design of an intelligent Internet connected SUV.
{"title":"Research on the metaphorical mapping method between the design concept of intelligent Internet connected vehicle and multi-sensory design elements","authors":"Bangbei Tang, Yingzhang Wu, Xiaolin Tang, Wenyu He, Shengnan Chen, Wenrui Feng","doi":"10.1109/CVCI51460.2020.9338519","DOIUrl":"https://doi.org/10.1109/CVCI51460.2020.9338519","url":null,"abstract":"In order to improve the accuracy of the expression of the design concept of ICV, this paper puts forward a metaphor mapping method between ICV design concept and multi-sensory design elements, analyzes the metaphor mapping principle between the design concept and multi-sensory design elements, establishes a mathematical model based on the “entropy method” for the metaphor mapping between the design concept of ICV and multi-sensory design elements, and designs the vehicle design concept and multi-sensory design elements The system and device of metaphorical mapping of multi-sensory design elements verify the feasibility of the proposed method with the mapping process of design concept and multi-sensory design elements in the forward design of an intelligent Internet connected SUV.","PeriodicalId":119721,"journal":{"name":"2020 4th CAA International Conference on Vehicular Control and Intelligence (CVCI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115155606","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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