{"title":"Adapting of a Fuel Cell Engine to existing Fuel Cell Hybrid Vehicle","authors":"Jin Ming, Zhong Zaiming, Sun Ze-chang","doi":"10.1109/ICVES.2006.371558","DOIUrl":"https://doi.org/10.1109/ICVES.2006.371558","url":null,"abstract":"This article presents a brief method to solve a practical problem in today's fuel cell hybrid vehicle (FCHV) design, how to judge if a new fuel cell engine (FCE) can adapt to the rest parts of an existing power train system. The method bases on the steady state model, which is very suitable to analyze the system as a whole from aspect of power. According to our control strategy, a match equation can be deduced, whose boundary conditions can be obtained from the parameters of the rest parts of power train system. With the help of polarization curve of FCE, the output character curve of DC-DC converter can be drawn to build a match curve, through which the match equation can be solved. Furthermore, a practical explanation for the solution is given.","PeriodicalId":253788,"journal":{"name":"2006 IEEE International Conference on Vehicular Electronics and Safety","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116300333","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}
Jin Li-sheng, Gu Bai-yuan, Wang Rong-ben, Guo Lie, Zhao Yi-bing, Li Lin-hui
{"title":"Preceding Vehicle Detection Based on Multi-characteristics Fusion","authors":"Jin Li-sheng, Gu Bai-yuan, Wang Rong-ben, Guo Lie, Zhao Yi-bing, Li Lin-hui","doi":"10.1109/ICVES.2006.371615","DOIUrl":"https://doi.org/10.1109/ICVES.2006.371615","url":null,"abstract":"Preceding vehicle detection is a major research field of safety assistant driving system. This paper proposed a preceding vehicle detection method based on multi-characteristics fusion. First, the areas of interesting for preceding vehicles are established by using the bottom shadows. Then the preceding vehicles are identified through the fusion of vehicle margin characteristics, texture characteristics and vertical edge symmetry. Finally, vehicle location can be acquired by means of vehicle margin information. Experimental results show that this method has good reliability and accuracy.","PeriodicalId":253788,"journal":{"name":"2006 IEEE International Conference on Vehicular Electronics and Safety","volume":"112 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124754687","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}
Wang Feng, Zhang Tong, Wang Yan-jie, Yang Lin, Z. Bin
{"title":"Steady-State Optimization of Internal Combustion Engine for Hybrid Electric Vehicles","authors":"Wang Feng, Zhang Tong, Wang Yan-jie, Yang Lin, Z. Bin","doi":"10.1109/ICVES.2006.371629","DOIUrl":"https://doi.org/10.1109/ICVES.2006.371629","url":null,"abstract":"In previous work, an approach based on the highest efficiency of ICE was implemented in the steady-state optimization of internal combustion engine for hybrid electric vehicles. Those works did not take in account any consideration of the efficiency of other powertrain parts, such as electric motor and power battery or ultracapacitor. In this paper, a novel control strategy was developed and tested successfully.","PeriodicalId":253788,"journal":{"name":"2006 IEEE International Conference on Vehicular Electronics and Safety","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127956207","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}
{"title":"A Novel Fast Segmentation Method of Unstructured Roads","authors":"Zheng Li, B. Dai, Hangen He","doi":"10.1109/ICVES.2006.371553","DOIUrl":"https://doi.org/10.1109/ICVES.2006.371553","url":null,"abstract":"In this paper, a method is presented for road surface segmenting in unstructured roads, which have no lane marking. When the original color images are preprocessed using mathematical morphology, binary image is acquired by a threshold in color space. Next, as the deformable template matches in the binary image, some points of road centerlines can be gained. Then, the road surface can be segmented by the points of the road centerline. The method, DTMARF, is more robust in noisy condition, and costs less computing time than other road interpretation techniques. DTMARF has been integrated into a navigation system, which has driven a test vehicle successfully on off-road in many types of weather conditions.","PeriodicalId":253788,"journal":{"name":"2006 IEEE International Conference on Vehicular Electronics and Safety","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127287578","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}
{"title":"Vision Based Lane detection for Active Security in Intelligent Vehicle","authors":"M. Tian, Fuqiang Liu, Wenhong Zhu, Chao Xu","doi":"10.1109/ICVES.2006.371644","DOIUrl":"https://doi.org/10.1109/ICVES.2006.371644","url":null,"abstract":"This paper presents a monochromic camera lane detection algorithm based on Snake for improving active security in intelligent vehicle. The algorithm allows the elimination of several common assumptions: flat road, constant pitch angle or absence of roll angle, which are the limitations of many former algorithms. Moreover, compared with the former methods, the snake based lane model is able to describe any arbitrary shape by a set of control points. We use an improved Hough transform method to wipe off disturbances caused by shadow or edge of other things. Then we get the accurate vanishing points using a method of mutual comparison to desert some bad ones. The method of update and tracking is also referenced at last. The results of experiments, which have been done in urban road, show that the algorithm is adapted to many road conditions. Even in a complex driving environment, it also has a good performance.","PeriodicalId":253788,"journal":{"name":"2006 IEEE International Conference on Vehicular Electronics and Safety","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130808540","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}
{"title":"Electronic Pneumatic Clutch Control of the Heavy Truck based on Neural Network PID","authors":"Li Jun, Zhang Rui, Liang Bin","doi":"10.1109/ICVES.2006.371589","DOIUrl":"https://doi.org/10.1109/ICVES.2006.371589","url":null,"abstract":"Pneumatic clutch system of heavy truck is nonlinear and its state parameters are variable. The common PID controller is difficult to obtain good performance. Neural network is adopted to tune the PID parameter online. The output of neural network is used to adjust the PID controller parameter and the controller adjusts the pulse width to control the displacement of the clutch. The experimental result demonstrates the algorithm can obtain good control performance.","PeriodicalId":253788,"journal":{"name":"2006 IEEE International Conference on Vehicular Electronics and Safety","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116958680","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}
{"title":"Semi-active Suspension System Design for Quarter-car Model using Model Reference Sliding Mode Control","authors":"Jialing Yao, Jia-qiang Zheng","doi":"10.1109/ICVES.2006.371623","DOIUrl":"https://doi.org/10.1109/ICVES.2006.371623","url":null,"abstract":"This paper investigates the control of a semi-active suspension system using a quarter-car model, and proposes a model reference sliding mode controller which is easy to be carried out and eliminates the necessity of a road signal as well as measuring damper force. The proposed controller utilizes an approximate ideal skyhook system as a reference model, and the control law is determined so that an asymptotically stable sliding mode will occur in the error dynamics between the plant and the reference model states. In order to improve the dynamic quality of sliding mode motion, a uniform reaching law is used. Numerical simulation results suggest that the proposed controller can achieve a high degree of robustness against model uncertainties and disturbances. It obtains much better ride quality than that of passive and practical skyhook case, and achieves better handling performance over other controllers.","PeriodicalId":253788,"journal":{"name":"2006 IEEE International Conference on Vehicular Electronics and Safety","volume":"126 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117042506","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}
{"title":"Variable Structure Control for Emergency Braking Systems using LuGre Tire Model","authors":"Li Kaijun, Deng Kun, Xia Qunsheng","doi":"10.1109/ICVES.2006.371643","DOIUrl":"https://doi.org/10.1109/ICVES.2006.371643","url":null,"abstract":"In this paper, a variable structure control (VSC) controller (also known as sliding mode control (SMC)) is proposed for emergency braking control with a dynamic tire/road friction model called LuGre model. After investigating the factors which may have influence on the vehicle longitudinal dynamic response, a complex quarter vehicle model of the vehicle longitudinal dynamic system is obtained with LuGre model. To facilitate the controller design, a simplified quarter vehicle model is established, and using this simplified model, the VSC controller is designed. Furthermore, its stability is proved using Lyapunov stability theory in this paper, and it has better performance of convergence compared with conventional PID controller which is shown by simulation results.","PeriodicalId":253788,"journal":{"name":"2006 IEEE International Conference on Vehicular Electronics and Safety","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125255703","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}
{"title":"PDF Not Yet Available In IEEE Xplore","authors":"","doi":"10.1109/iicpe.2014.7115738","DOIUrl":"https://doi.org/10.1109/iicpe.2014.7115738","url":null,"abstract":"The document that should appear here is not currently available.","PeriodicalId":253788,"journal":{"name":"2006 IEEE International Conference on Vehicular Electronics and Safety","volume":"285 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114260248","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}