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International Automotive Research Centre ELECTRICAL PROJECTS

International Automotive Research Centre ELECTRICAL PROJECTS. Ross McMurran - Project Manager Peter Jones- Principal Investigator Mark Amor-Segan – Principal Engineer Gunny Dhadyalla – Principal Engineer. Function Growth. Processor. Actuator. Sensor. Software. Lane-keeping.

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International Automotive Research Centre ELECTRICAL PROJECTS

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  1. International Automotive Research CentreELECTRICAL PROJECTS Ross McMurran - Project Manager Peter Jones- Principal Investigator Mark Amor-Segan – Principal Engineer Gunny Dhadyalla – Principal Engineer

  2. Function Growth Processor Actuator Sensor Software Lane-keeping Remote Diagnostics ISG In Car PC Rear Multi-media Satellite Radio El. Water Pump Auto lights Adaptive Headlamps Auto wipers EM Valves Surround Sound ACC IVDC Telematics E-Connectivity Adaptive suspension PTC Heater Steer-by-Wire Active steering Optical Buses Navigation Brake-by-Wire Security Voice Activation Adv. Restraints ABS Body Elec. Blind Spot Detection Airbag Instruments Fuel Cell Keyless Vehicle ESP Engine Control Transmission Control EPAS 1980 1990 2000 2010 CY International Automotive Research Centre:Motivation behind Electrical Projects • The vast majority of new technology looks like this…..

  3. Automotive Electronics Complexity Issues • As “Systems of Systems” become more complex it becomes harder to: • Specify and implement what is required • Predict behaviour (Emergent properties) • Verify complete SoS or sub-systems in isolation • Plan delivery and manage change • Diagnose faults • Maintain delivery skills at pace of technology evolution Key Areas of Research

  4. PARD1 PROJECTS:Electrical Test for Advanced ArchitecturesSoftware IntegrationHMI Assessment MethodologyEnvironmental Condition Recognition Status: Completed Feb 07

  5. Manufacturing Test Validation with HIL • Model Based Diagnostics • Process Mapping & RADS • Bayesian Diagnostics PARD1 Completed Project:Electrical Test for Advanced Architectures

  6. Agile Development Methods • Intelligent Software Planning • SysML for Improved Requirements • Formal Verification Methods PARD1 Completed Project:Software Integration Project

  7. PARD1 Completed Project:Environmental Condition Recognition • Recognising environmental conditions to enable adaptive control and feature enhancement

  8. PARD ELECTRICAL PROJECT EXTENSION:HIL Technology Migration HMI Development Tools IntegrationElectrical TrainingDiagnosticsSoftware Planning Status: March 07 to March 08

  9. Knowledge Gap Project Engineers/Technical Project Mgrs/Trouble-shooters Broad understanding of a number of fields ELECTRICALMODULAR TRAINING Technical Specialists/Experts Technical Specialists/Experts • High level of practical ‘hands-on’ content • Tailored to application context Deep Understanding of particular fields but few in number Deep Understanding of particular fields but few in number • Subject Matter Experts – for content & lecturing • Post Module Assignment Electrical IMDS Training – Background Breadth of knowledge Tranche 1Automotive NetworkingAutomotive DiagnosticsElectrical Test Techniques Depth of knowledge

  10. EVoCS ProjectEvolutionary Validation of Complex Systems Status: Current 2006-2010

  11. EVoCS ProjectEvolutionary Validation of Complex Systems Complex Systems of Systems • A System of Systems (SoS) is composed of parts which: • have individual goals and a level of autonomy • are linked to achieve a higher level purpose or to share resources e.g. information, interfaces etc. • As SoS become more complex it becomes harder: • to predict behaviour (Emergent properties) • to verify complete SoS or sub-systems in isolation Project Objectives • To maximise confidence in the design and implementation of complex automotive electrical systems through: • Innovative techniques for the validation of the design at a System of Systems level • A platform for the validation of the implementation at a Systems of Systems level Project Partners Project Scope • For further information contact: • ross.mcmurran@warwick.ac.uk With funding from

  12. EVoCS - System of Systems Design Validation Model Based Development Processes Enhanced Physical Modelling Automated Model Based Testing Interaction Modelling Test case generation & coverage metrics Design for Robustness Static Code Analysis Tools Formal Methods for Dependability

  13. EVoCS - System of Systems Validation Platforms Flexible HIL Platform Platforms for full vehicle tests Next Generation HIL Tests HMI Simulation & Testing Test Automation Machine Vision Validation of Manufacturing Systems Robustness Testing Low Voltage Testing

  14. Self Healing Vehicle Project Status: Submission to WIMRC Board June 07 2008 – 2010 Partner interest sought

  15. Self Healing VehicleBackground • Increasing complexity and criticality of applications • Despite improvements in validation techniques, faults will still get to market, • Electronics & software will fail. • Human-assisted monitoring, maintenance, and intervention will become prohibitively costly, unacceptably slow, and sometimes ineffective. • An intelligent vehicle needs to play a more proactive role in fault management

  16. What is a Self Healing Vehicle? • “A vehicle with the ability to: • autonomously predict or detect and diagnose failure conditions, • confirm any given diagnosis, • and perform appropriate corrective intervention(s), • including the use of telematics to interact with external service providers and infrastructures.”

  17. Confirmed/Classified Failure Information Vehicle Data Diagnostic & Prognostic Information, Data Logging Prognostic Diagnostic Monitor Interrogation commands Distributed Vehicle Electronics System Intelligent Rectification Manager Remote Telematics Support System Corrective Action or Intervention Intervention Initiator Verification of Intervention outcomes Failure Details + Recommended Intervention SW Downloads, Enhancements & Upgrades to diagnostic System, Remote commands. In-vehicle Fault Management System Self Healing VehicleConcept

  18. Areas Of Interest For Future Research • Systems Engineering, Model Driven Development & Validation • Requirements Engineering • Modelling • Formal Methods • Automated Model Based Testing • Auto-coding • Advanced Vehicle Control • Sensing & Data Processing • Vision Systems • Robotics & Autonomous Vehicles • Robust and Fault Tolerant Systems • Design for robustness • Advanced Diagnostics • Telematics • Data Processing for new applications, e.g. Driver Support, Prognostics, PAYD Insurance

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