7, Postgraduate Certificate
A first or upper second class honours degree or equivalent in engineering or physical sciences. In exceptional circumstances, students may be accepted with extensive experience in the automotive industry.
Duration / assessment:
Three compulsory one-week modules, each worth 20 credits / 100% coursework
Lectures, seminars, tutorials, practical assessments and independent study
Loughborough University and up to 1 day out of 5 at MIRA
Course provided by:
Aim of the Course:
To develop the underlying skills you need to engineer, analyse and develop conventional, hybrid and electric powertrains in the context of the vehicle attributes and overall product development process.
The course consists of three modules:
Vehicle Powertrain Functional Performance
Sustainable Vehicle Powertrains
Powertrain Calibration Optimisation
Vehicle Powertrain Functional Performance:
Systems Engineering Overview: Introduction to Systems Engineering, contrast to component engineering, relevance to the modern automotive industry.
- Vehicle Performance and Economy:
- Subjective and objective measures of vehicle performance, time to speed calculation - transmission efficiency, equivalent mass, launch from rest, wheel spin, gear change time, design of gear ratios, fuel maps, use of CVT, steady state fuel consumption, effect of engine type, simulation study in Simulink.
- Thermodynamics: gases and gas laws, thermodynamic processes in reciprocating IC engines, open and closed systems, engine cycles, engine design and operating parameters, engine performance parameters.
- Combustion: fuel and chemical equations, combustion processes in SI engines, combustion processes in CI engines, engine breathing and advanced valve-train-review of breathing theories, methods of characteristics, IC engines modelling techniques, fundamentals of engine mechanics, dynamometer measurements, engine dynamometers, chassis dynamometer.
- Transmission Fundamentals:
- Drivetrain components; clutch, synchromesh, torque convertor.
- Supporting Fundamentals:
- Vehicle and powertrain modelling, Matlab and Simulink.
Sustainable Vehicle Powertrains:
An introduction to advanced and alternative powertrain technologies and future technology road map.
- Advanced Combustion Engines:
- Turbocharger: Fundamental theory and applications
- Engine downsize: Performances and emission challenges
- Advanced engine combustion technologies: HCCI, Miller cycle and other potential combustion concepts
- In-cylinder formation of pollutant emissions: Fundamentals of the in-cylinder formation of pollutant emissions from Gasoline and Diesel IC engines.
- Batteries: Basic electrochemistry, charging and discharging, battery management for vehicle applications
- Electric Machines: Electromagnetism, electromotive force, back EMF, commutation, magnetic circuits and materials, conductors, principle sources of losses, motor types, emerging concepts, efficiency, operating characteristics
- Fuel cells: Chemistry, systems, management
- Hybrid and electric vehicle powertrain integration: architecture, optimisation, modelling case studies
Powertrain Calibration Optimisation:
An introduction to modern powertrain calibration optimisation.
- Principles of modelling: requirements, form of models, fitting and diagnostic methods; use of computer tools; methods for selecting appropriate modelling techniques; properties of algorithms and techniques used for model creation.
- Design of experiments (DOE): statistical principles and methods including normal and Student's t distributions, analysis of variance (ANOVA); the methods, structure and progression of DOE; factorial, response surfaces and optimal methods.
- Formulation of the optimisation requirement; principles of optimisation; selection of techniques and application of diagnostics; optimisation in practice.
- Operating modes for engine and powertrain and the associated modelling and optimisation techniques.
- Overview of calibration tasks for both diesel and spark ignition including the application of DOE, modelling and optimisation methods; techniques used for in-vehicle optimisation.
- Application of optimisation to powertrain emissions including optimisation on the test bed and in the vehicle.
- Principles of diagnosis: methods and algorithms; use of embedded models; use of observers and Kalman-Bucy filters. Application of diagnosis methods to emissions controls systems and components.
- Emissions legislation (performance and diagnosis); the consequential demands placed on powertrain technical solutions; methods used to develop powertrain solutions from legislation