New PDF release: Advanced Microsystems for Automotive Applications 2011:

By Steffen Müller, Bernd Elend (auth.), Gereon Meyer, Jürgen Valldorf (eds.)

ISBN-10: 3642213804

ISBN-13: 9783642213809

Fundamental differences are coming near near for the auto this day: propulsion applied sciences are going to shift from combustion engines to electrical automobiles; automobiles and roads will quickly be as secure and handy as by no means earlier than; and site visitors will stream more and more effective. lots of those developments are because of cutting edge details and communique applied sciences, controls and shrewdpermanent platforms, either within the automobile and at its interfaces with the platforms for strength offer, mobility and knowledge communication.

The papers released during this publication are chosen from the submissions to the fifteenth overseas discussion board on complex Microsystems for automobile functions (AMAA 2011) “Smart structures for electrical, secure and Networked Mobility”. They hide elements, architectures and clever platforms permitting the subsequent functionalities: electrical using, secure vehicles and roads, and hooked up vehicles.

Additional details is obtainable at www.amaa.de

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Extra info for Advanced Microsystems for Automotive Applications 2011: Smart Systems for Electric, Safe and Networked Mobility

Sample text

Electric-drive vehicles (EDVs) include battery electric vehicles, fuel cell electric vehicles and hybrid electric vehicles [3]. In our paper we exclusively deal with the plug-in enabled EDVs. EDVs incorporate batteries which are capable of storing a significant amount of energy. Summing up all the possible electrical energy stored in the expected amount of EVs in near future, one finds that it is possible with a constructive bidirectional interaction between the EVs and the upcoming smart grid.

Fig. 3. Representation of the steering wheel angle versus speed for the three configurations in the CRC test Two main results have been obtained. The first one is the determination of the vehicle dynamic behaviour depending on the control used, and the second one being the maximum speed for the stability loss for each of the control strategies. It is interesting to note that “no control” and “low speed control” strategies produce almost the same behaviour in the modified vehicle performance. This is due to the fact that the slip of the wheels has not been taken into account for the “low speed” strategy.

Fig. 5. SIMULINK diagram of the DYC control algorith Development of Mathematical Models for an Electric Vehicle With 4 In-Wheel Electric Motors References [1] [2] [3] [4] [5] [6] [7] [8] Esmailzadeh, E. , Vossoughi, G. R. and Goodarzi, A. “Dynamic modelling and analysis of a four motorized wheels electric vehicle”, Vehicle System Dynamics, Vol. 35, No. 3, pp. 163-194, 2001. , “Future Vehicle Driven by Electricity and Control- Research on FourWheel-Motored ‘UOT Electric March II’”, IEEE Trans. Ind.

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Advanced Microsystems for Automotive Applications 2011: Smart Systems for Electric, Safe and Networked Mobility by Steffen Müller, Bernd Elend (auth.), Gereon Meyer, Jürgen Valldorf (eds.)


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