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Wuhan, China

China Automotive Systems, Inc. is one of the largest power steering components and systems supplier in China. It is also a holding company that, through Genesis, manufactures power steering systems and other components for automobiles. Founded in 1993, all operations are conducted through eight Sino-foreign joint ventures in China and a wholly owned subsidiary in the United States. Wikipedia.


Huang H.,Wuzhou University | Xiao H.,China Automotive Systems
Applied Mechanics and Materials | Year: 2014

The industrial cluster is formed by the common competitiveness elements of enterprise group. Under the cluster environment, common technology and common customer as well as distribution channel are composition of cluster development performance mode. On the basis of the parabolic PDE cluster development model, and combined with Internet industrial cluster analysis of virtual platform, the Internet structure industrial cluster analysis system is designed. In order to verify the validity and reliability of the model and system, this paper takes the cluster development of machining as an example to carry on the research for the system performance, which can get the virtual grid node and stress distribution of cluster processing center, finally we can obtain the industrial cluster investment and performance relationship table, to provide the theoretical guidance for the development of industrial clusters. © (2014) Trans Tech Publications, Switzerland. Source


Liu J.-F.,Tongji University | Chen M.,Tongji University | Yao Y.,China Automotive Systems | Kong Q.-H.,Tongji University
Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS | Year: 2011

To meet requirements of Product Collaborative Design(PCD) in distributed heterogeneous environment, collaborative design strategy of product modularity based on multi-Agent was proposed. Firstly, PCD top-down 4-tier process model based on multi-Agent was constructed after analyzing mapping relationships between requirements and functions in collaborative design. Secondly, multi-objective optimization mathematic model of decomposition-based modularity was established from perspectives of module cohesion degree, module coupling degree and module executable degree. Optimal modules were obtained by modularity decomposition Agent, and similarity algorithm was used to search the best matching Agents to solve modules. Finally, integrated reasoning and decision-making mechanism were introduced to set up behavioral model of collaborative design Agent. Parallel consultation mechanisms for Agents based on blackboard was given. On this basis, Browser/Server(B/S) based system for automobile collaborative design was developed, and the feasibility and efficiency of this strategy were proved in an example of collaborative design of automobile bodies. Source


Zu Y.,Shanghai Second Polytechnic University | Li G.,China Automotive Systems
Thermal Science | Year: 2010

Normally, cylinder pressure was used as a criterion of combustion occurrence, while in some conditions, it may be unreliable when identifying lean mixture combustion. This is particularly important for fuels like liquefied petroleum gas, which has good capacity for lean combustion. In this study, a fast response NO detector, based on the chemiluminescence method, was used to measure real time NO emissions in order to evaluate the technique as a criterion for establishing combustion occurrence. Test results show that real time NO emissions can be used to identify the cylinder combustion and misfire occurrence during engine cranking, and real time NO emissions can be used to understand the combustion and misfire occurrence. Real time NO emissions mostly happened in first several cycles during cold start, and NO emissions increased with the spark timing advancing. Source


Huang Z.,Shanghai JiaoTong University | Huang Z.,Shanghai Maritime University | Huang Z.,China Automotive Systems | Ma J.,Shanghai JiaoTong University | Huang H.,Shanghai JiaoTong University
Optimal Control Applications and Methods | Year: 2013

Approximate dynamic programming is a useful tool in solving multi-stage decision optimal control problems. In this work, we first promote the action-dependent heuristic dynamic programming method to multi-input multi-output control system by extending its action network to multi-output form. The detailed derivation is also given. We then apply this method to the fluctuation control of a spark engine idle speed. An engine idling model is set up to verify the control effect of this method. Results here show that this method requires several iterations to suppress unbalanced combustion by manipulating spark ignition timing. This method provides an alternative for a simpler multi-input multi-output approximate dynamic programming scheme. Moreover, it has a faster iteration convergence effect. The derivation of this method also has a rigorous mathematical basis. Although illustrated for engines, this control system framework should also be applicable to general multi-input multi-output nonlinear system. Copyright © 2011 John Wiley & Sons, Ltd. Copyright © 2011 John Wiley & Sons, Ltd. Source


Li J.,Jilin University | Li J.,China First Automobile Works Group Corporation | Gong C.,Jilin University | Wang E.,China First Automobile Works Group Corporation | And 3 more authors.
Energy and Fuels | Year: 2010

The effects of the methanol injection quantity per cycle, the ignition timing, the methanol injection timing, the additional liquefied petroleum gas (LPG) injected into the inlet port, and the LPG injection timing delay relative to the methanol injection timing on the formaldehyde and the unburned methanol emissions from an electronically controlled inlet port methanol injection spark-ignition (SI) engine during cold start were investigated using a single-cycle fuel injection strategy. The results showed that the methanol injection quantity per cycle, the ignition timing, the methanol injection timing, the mass ratio of injected LPG/ methanol, and the LPG injection timing delay relative to the methanol injection timing affect the formaldehyde and the unburned methanol emissions significantly. Optimal control of the methanol injection quantity per cycle, the ignition timing, the methanol injection timing, and the LPG injection timing delay relative to the methanol injection timing improves firing performances and reduces the unburned methanol emission. As the mass ratio of injected LPG/methanol increases, the formaldehyde emission increases and the unburned methanol emission falls. The variations in emitted formaldehyde and unburned methanol show opposite tendencies with the variations in the methanol injection quantity per cycle, the ignition timing, the methanol injection timing, the mass ratio of injected LPG/methanol, and the LPG injection timing delay relative to the methanol injection timing. Copyrigh © 2009 American Chemical Society. Source

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