Design of Clean Vehicle Propulsion (531H3)
Design of Clean Vehicle Propulsion
Module 531H3
Module details for 2023/24.
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.
Type | Timing | Weighting |
---|---|---|
Coursework | 100.00% | |
Coursework components. Weighted as shown below. | ||
Report | T1 Week 6 | 50.00% |
Report | A1 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.
Term | Method | Duration | Week pattern |
---|---|---|---|
Autumn Semester | Workshop | 2 hours | 01010101010 |
Autumn Semester | Lecture | 2 hours | 11111111111 |
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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