Generating Automotive Electrical System Models from Component Based Qualitative Simulation

Neal Snooke; Richard Shipman

doi:10.1007/978-1-4471-0149-9_8

Generating Automotive Electrical System Models from Component Based Qualitative Simulation

Neal Snooke, Richard Shipman

Department of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference Proceeding (Non-Journal item)

Abstract

Model based reasoning applied to electrical systems has matured over recent years resulting in deployment of commercial design analysis tools in the automotive industry [1, 41. These tools work at the component level on individual systems or subsystems. Analysis of multiple systems is becoming necessary because of the increase in system and subsystem interactions resulting from Electronic Control Unit based system architectures.

To address the resulting simulation complexity this paper considers the automated construction of black box system or subsystem models from envisionments produced by qualitative simulation. The models can then be used to improve efficiency of the repetitive simulation procedures required to perform automated Failure Mode Effects Analysis (FMEA).

The approach also has the potential to allow Sneak Circuit Analysis (SCA)[2, 31 to be extended to include systems with internal memory. It provides the basis of a useful visualization tool for complex system behaviour.

Original language	English
Title of host publication	Applications and Innovations in Intelligent Systems IX
Subtitle of host publication	Proceedings of ES2001, the Twenty-first SGES International Conference on Knowledge Based Systems and Applied Artificial Intelligence, Cambridge, December 2001
Editors	Ann Macintosh, Mike Moulton, Alun Preece
Publisher	Springer Nature
Pages	100-114
Number of pages	15
ISBN (Electronic)	978-1-4471-0149-9
ISBN (Print)	978-1-85233-530-4
DOIs	https://doi.org/10.1007/978-1-4471-0149-9_8
Publication status	Published - 11 Dec 2001

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http://hdl.handle.net/2160/70

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Snooke, N., & Shipman, R. (2001). Generating Automotive Electrical System Models from Component Based Qualitative Simulation. In A. Macintosh, M. Moulton, & A. Preece (Eds.), Applications and Innovations in Intelligent Systems IX: Proceedings of ES2001, the Twenty-first SGES International Conference on Knowledge Based Systems and Applied Artificial Intelligence, Cambridge, December 2001 (pp. 100-114). Springer Nature. https://doi.org/10.1007/978-1-4471-0149-9_8

Snooke, Neal ; Shipman, Richard. / Generating Automotive Electrical System Models from Component Based Qualitative Simulation. Applications and Innovations in Intelligent Systems IX: Proceedings of ES2001, the Twenty-first SGES International Conference on Knowledge Based Systems and Applied Artificial Intelligence, Cambridge, December 2001. editor / Ann Macintosh ; Mike Moulton ; Alun Preece. Springer Nature, 2001. pp. 100-114

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abstract = "Model based reasoning applied to electrical systems has matured over recent years resulting in deployment of commercial design analysis tools in the automotive industry [1, 41. These tools work at the component level on individual systems or subsystems. Analysis of multiple systems is becoming necessary because of the increase in system and subsystem interactions resulting from Electronic Control Unit based system architectures.To address the resulting simulation complexity this paper considers the automated construction of black box system or subsystem models from envisionments produced by qualitative simulation. The models can then be used to improve efficiency of the repetitive simulation procedures required to perform automated Failure Mode Effects Analysis (FMEA).The approach also has the potential to allow Sneak Circuit Analysis (SCA)[2, 31 to be extended to include systems with internal memory. It provides the basis of a useful visualization tool for complex system behaviour.",

author = "Neal Snooke and Richard Shipman",

note = "N.A.Snooke and R.Shipman, Generating Automotive Electrical System Models from Component Based Qualitative Simulation, Expert Systems 2001, 11-12 Dec 2001, Cambridge UK, Research and Development in intelligent Systems XVIII, pp.100-114, ISBN 1-85233-535-1 (Springer).",

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Snooke, N & Shipman, R 2001, Generating Automotive Electrical System Models from Component Based Qualitative Simulation. in A Macintosh, M Moulton & A Preece (eds), Applications and Innovations in Intelligent Systems IX: Proceedings of ES2001, the Twenty-first SGES International Conference on Knowledge Based Systems and Applied Artificial Intelligence, Cambridge, December 2001. Springer Nature, pp. 100-114. https://doi.org/10.1007/978-1-4471-0149-9_8

Generating Automotive Electrical System Models from Component Based Qualitative Simulation. / Snooke, Neal ; Shipman, Richard.
Applications and Innovations in Intelligent Systems IX: Proceedings of ES2001, the Twenty-first SGES International Conference on Knowledge Based Systems and Applied Artificial Intelligence, Cambridge, December 2001. ed. / Ann Macintosh; Mike Moulton; Alun Preece. Springer Nature, 2001. p. 100-114.

Research output: Chapter in Book/Report/Conference proceeding › Conference Proceeding (Non-Journal item)

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N2 - Model based reasoning applied to electrical systems has matured over recent years resulting in deployment of commercial design analysis tools in the automotive industry [1, 41. These tools work at the component level on individual systems or subsystems. Analysis of multiple systems is becoming necessary because of the increase in system and subsystem interactions resulting from Electronic Control Unit based system architectures.To address the resulting simulation complexity this paper considers the automated construction of black box system or subsystem models from envisionments produced by qualitative simulation. The models can then be used to improve efficiency of the repetitive simulation procedures required to perform automated Failure Mode Effects Analysis (FMEA).The approach also has the potential to allow Sneak Circuit Analysis (SCA)[2, 31 to be extended to include systems with internal memory. It provides the basis of a useful visualization tool for complex system behaviour.

AB - Model based reasoning applied to electrical systems has matured over recent years resulting in deployment of commercial design analysis tools in the automotive industry [1, 41. These tools work at the component level on individual systems or subsystems. Analysis of multiple systems is becoming necessary because of the increase in system and subsystem interactions resulting from Electronic Control Unit based system architectures.To address the resulting simulation complexity this paper considers the automated construction of black box system or subsystem models from envisionments produced by qualitative simulation. The models can then be used to improve efficiency of the repetitive simulation procedures required to perform automated Failure Mode Effects Analysis (FMEA).The approach also has the potential to allow Sneak Circuit Analysis (SCA)[2, 31 to be extended to include systems with internal memory. It provides the basis of a useful visualization tool for complex system behaviour.

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Snooke N , Shipman R. Generating Automotive Electrical System Models from Component Based Qualitative Simulation. In Macintosh A, Moulton M, Preece A, editors, Applications and Innovations in Intelligent Systems IX: Proceedings of ES2001, the Twenty-first SGES International Conference on Knowledge Based Systems and Applied Artificial Intelligence, Cambridge, December 2001. Springer Nature. 2001. p. 100-114 doi: 10.1007/978-1-4471-0149-9_8

Generating Automotive Electrical System Models from Component Based Qualitative Simulation

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