Hybrid systems in automotive electronics design

Automotive electronic design is certainly one of the most attractive and promising application domains for hybrid system techniques. Some successful hybrid system applications to automotive model development and control algorithm design have already been reported in the literature. However, despite the significant advances achieved in the past few years, hybrid methods are in general still not mature enough for their effective introduction in the automotive industry design processes at large. In this paper, we take a broad view of the development process for embedded control systems in the automotive industry with the purpose of identifying challenges and additional opportunities for hybrid systems. We identify critical steps in the design flow and extract a number of open problems where hybrid system technology might play an important role.

[1]  Andrea Balluchi,et al.  Hybrid Models of an Automotive Driveline , 2005 .

[2]  Alberto L. Sangiovanni-Vincentelli,et al.  Design of Observers for Hybrid Systems , 2002, HSCC.

[3]  Gabriele Serra,et al.  ACTUAL ENGAGED GEAR IDENTIFICATION: A HYBRID OBSERVER APPROACH , 2005 .

[4]  Mato Baotic,et al.  Multi-object Adaptive Cruise Control , 2008, HSCC.

[5]  Alberto L. Sangiovanni-Vincentelli,et al.  Hybrid control in automotive applications: the cut-off control , 1999, Autom..

[6]  Anil Nerode,et al.  Models for Hybrid Systems: Automata, Topologies, Controllability, Observability , 1992, Hybrid Systems.

[7]  E.-H. Azibi,et al.  Computer-Aided Process Engineering and transformation of the process design activity in automotive industry , 2002, IEEE International Conference on Systems, Man and Cybernetics.

[8]  N. Peric,et al.  Hybrid system theory based optimal control of an electronic throttle , 2003, Proceedings of the 2003 American Control Conference, 2003..

[9]  A.L. Sangiovanni-Vincentelli,et al.  Integrated control-implementation design , 2002, Proceedings of the 41st IEEE Conference on Decision and Control, 2002..

[10]  R. Isermann.  MECHATRONIC SYSTEMS – INNOVATIVE PRODUCTS WITH EMBEDDED CONTROL – , 2005 .

[11]  Roy S. Smith,et al.  Continuous-time control model validation using finite experimental data , 1996, IEEE Trans. Autom. Control..

[12]  Mario Vasak,et al.  Hybrid theory based optimal control of electronic throttle , 2003 .

[13]  Karl Henrik Johansson,et al.  Vehicle Applications of Controller Area Network , 2005, Handbook of Networked and Embedded Control Systems.

[14]  A. Haddad,et al.  On the Controllability and Observability of Hybrid Systems , 1988, 1988 American Control Conference.

[15]  S. Pettersson,et al.  LMI for stability and robustness of hybrid systems , 1997, Proceedings of the 1997 American Control Conference (Cat. No.97CH36041).

[16]  Alberto L. Sangiovanni-Vincentelli,et al.  System-level design: orthogonalization of concerns andplatform-based design , 2000, IEEE Trans. Comput. Aided Des. Integr. Circuits Syst..

[17]  Maria Domenica Di Benedetto,et al.  Design of a Motorcycle Engine Control Unit Using an Integrated Control-Implementation Approach , 2004 .

[18]  K.-E. Arzen,et al.  How does control timing affect performance? Analysis and simulation of timing using Jitterbug and TrueTime , 2003, IEEE Control Systems.

[19]  Alberto Bemporad,et al.  Passivity Analysis and Passification of Discrete-Time Hybrid Systems , 2008, IEEE Transactions on Automatic Control.

[20]  Pramod Khargonekar,et al.  A Time-Domain Approach to Model Validation , 1992, 1992 American Control Conference.

[21]  C. Pinello,et al.  Automotive engine control and hybrid systems: challenges and opportunities , 2000, Proceedings of the IEEE.

[22]  A. Balluchi,et al.  Randomized Algorithms for Platform-based Design , 2005, Proceedings of the 44th IEEE Conference on Decision and Control.

[23]  K. R. Butts.  An application of integrated CASE/CACSD to automotive powertrain systems , 1996, Proceedings of Joint Conference on Control Applications Intelligent Control and Computer Aided Control System Design.

[24]  Jie Chen,et al.  Robust Model-Based Fault Diagnosis for Dynamic Systems , 1998, The International Series on Asian Studies in Computer and Information Science.

[25]  Alberto L. Sangiovanni-Vincentelli,et al.  Benefits and challenges for platform-based design , 2004, Proceedings. 41st Design Automation Conference, 2004..

[26]  K.-E. Arzen,et al.  An introduction to control and scheduling co-design , 2000, Proceedings of the 39th IEEE Conference on Decision and Control (Cat. No.00CH37187).

[27]  Grant Martin,et al.  Guest Editor's Introduction: The Reuse of Complex Architectures , 2002, IEEE Des. Test Comput..

[28]  John Doyle,et al.  Model validation: a connection between robust control and identification , 1992 .

[29]  R. Decarlo,et al.  Perspectives and results on the stability and stabilizability of hybrid systems , 2000, Proceedings of the IEEE.

[30]  Harald Heinecke,et al.  AUTomotive Open System ARchitecture - An Industry-Wide Initiative to Manage the Complexity of Emerging Automotive E/E-Architectures , 2004 .

[31]  Grant Martin,et al.  The Future of High-Level Modelling and System Level Design : Some Possible Methodology Scenarios , 2002 .

[32]  W. F. Powers,et al.  The role of electronic controls for future automotive mechatronic systems , 1996 .

[33]  Alberto L. Sangiovanni-Vincentelli,et al.  Correct-by-construction transformations across design environments for model-based embedded software development , 2005, Design, Automation and Test in Europe.

[34]  John Lygeros,et al.  Controllers for reachability specifications for hybrid systems , 1999, Autom..

[35]  George J. Vachtsevanos,et al.  Software technology for implementing reusable, distributed control systems , 2003 .

[36]  Alberto Bemporad,et al.  A bounded-error approach to piecewise affine system identification , 2005, IEEE Transactions on Automatic Control.