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School of Engineering and Informatics (for staff and students)

Design of Clean Vehicle Propulsion (531H3)

Design of Clean Vehicle Propulsion

Module 531H3

Module details for 2024/25.

15 credits

FHEQ Level 7 (Masters)

Module Outline

The module concerns design of vehicle propulsion systems. It includes testing, modelling and simulation methods for powertrains of conventional internal combustion engines, electric vehicles and hybrid power systems. Energy consumption and efficiency for different powertrains under international standard test cycles are calculated. It will also include design and optimisation for alternative energy powered vehicles. Matlab toolboxes (including Powertrain Blockset) are used to design, optimise and verify the vehicle propulsion systems.

The module addresses the AHEP4 Learning Outcomes: M1, M2, M3,M4,M5,M6, M12

Library

Plint M, Martyr A. Engine testing theory and practice, 3rd ed., Butterworth Heinemann, 2007.
Richard D. Atkins, An Introduction to Engine Testing and Development, ASE International, 2009.
Guzzella, Lino and Sciarretta, Antonio, Vehicle Propulsion Systems, 2005.
Guzella, Lino and Onder, Christopher, Introduction to Modeling and Control of Internal Combustion Engine Systems, 2004.
Gillespie, Thomas D., Fundementals of Vehicle Dynamics, 1992.

Module learning outcomes

Understand and model vehicle propulsion systems

Simulate performance of different engine configurations under standard driving cycles

Design and optimisation for new energy and hybrid vehicles

Master specialised Matlab toolboxes to design, simulate and verify vehicle propulsion systems.

TypeTimingWeighting
Coursework100.00%
Coursework components. Weighted as shown below.
ReportT1 Week 6 50.00%
ReportA1 Week 1 50.00%
Timing

Submission deadlines may vary for different types of assignment/groups of students.

Weighting

Coursework components (if listed) total 100% of the overall coursework weighting value.

TermMethodDurationWeek pattern
Autumn SemesterWorkshop2 hours01010101010
Autumn SemesterLecture2 hours11111111111

How to read the week pattern

The numbers indicate the weeks of the term and how many events take place each week.

Dr William Wang

Assess convenor
/profiles/101946

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School of Engineering and Informatics (for staff and students)

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