Module Title:   Automotive Powertrain Engineering

Module Credit:   20

Module Code:   ENG3315D

Academic Year:   2015/6

Teaching Period:   Semester 1

Module Occurrence:   A

Module Level:   FHEQ Level 6

Module Type:   Standard module

Provider:   Engineering

Related Department/Subject Area:   School of Engineering

Principal Co-ordinator:   Dr Peter Olley

Additional Tutor(s):   -

Prerequisite(s):   None

Corequisite(s):   None

Aims:
To apply the principles which underlie the operation of engine and powertrain systems in order to design strategies to optimise performance, emissions and economy.
To develop knowledge and understanding of the theory, techniques and experimental procedures for the mapping and calibration of engine and powertrain managements systems and to apply this knowledge to an experimental part of the course.

Learning Teaching & Assessment Strategy:
Concepts are introduced using formal lectures and explored further during seminars. Oral feedback is given during the seminars. Assessment is by formal examination and a technical report.

Lectures:   36.00          Directed Study:   142.00           
Seminars/Tutorials:   12.00          Other:   0.00           
Laboratory/Practical:   8.00          Formal Exams:   2.00          Total:   200.00

On successful completion of this module you will be able to...

Critically review the complex interactions which underlie the performance, emissions and economy of automotive engines to allow critical evaluation of new and developing technologies.
Show knowledge and understanding to allow a critical evaluation of the design and operation of the engine and powertrain. Identify the critical areas of operation. Apply modelling and simulation methods to allow calibration data for the EMS to be obtained.

On successful completion of this module you will be able to...

Integrate material from many sources.
Critically apply statistical skills to engine mapping.
Calibrate an engine and program an engine ECU.
Demonstrate engine testing skills.

On successful completion of this module you will be able to...

Use the scientific method; Solve problems systematically;
Manage, present and interpret data using IT skills.
Show improved communication, teamwork, leadership and personal management skills.

  Examination - closed book 2.00 50%
 
  Closed book exam 2 hours
  Coursework   50%
 
  Coursework: 2 reports (1000 words each), 1-Powertrain Modelling, 2-Engine Mapping and Calibration
  Coursework   50%
 
  Supplementary coursework: Submit an Individual Powertrain Simulation Report (2000 words)
  Examination - closed book 2.00 50%
 
  Supplementary assessment: examination - closed book

Outline Syllabus:
Review of basic petrol and diesel engines; performance indicators. The delivery of air and fuel in spark-ignition(SI) and compression-ignition(CI) engines. Combustion in SI and CI engines. Factors which govern power, speed, torque and size. Induction and exhaust processes, principles of valve timing. Combustion processes in engines; ignition, flame propagation. Knock in petrol engines, detection and avoidance. Emissions; legislative requirements, after treatment systems. Principles of ignition timing; fuel delivery and control of air/ fuel ratio. Engine management systems: calibration, strategies to optimise performance, emissions and economy. Engine - driveline - vehicle matching: gear ratios, vehicle performance. Combustion in Compression Ignition engines. Turbocharging: specification of compressor and turbine sizes, performance matching.Engine - driveline - vehicle matching: gear ratios, vehicle performance. Effect of engine speed, turbulence and residual gases. Sources of gaseous emissions and particulates. Control of engine-out emissions and after-treatments. Catalytic converters and their operation. Legislative limits and requirements. Engine Management Systems(EMS). Design specification, operating conditions, location and protection. Operational requirements: real time control, mapping and calibration, model based strategies. Testing of engines: test cells, instrumentation and control. Testing protocols and procedures. Experiment design. Data- logging and presentation. Normalisation of results.

Version No:  1