Automobiles are made up of primary subsystems which individually behave as dynamic systems. The aims of this module are: to introduce techniques and computer tools for modelling, predicting, analysing and understanding the behaviour of the individual primary systems in automobiles, and the interactions between these primary systems; and to promote understanding of the role of on-board control systems in automobiles
Module Aims
This key automotive-specific module will introduce the concept of design for vehicle comfort.
The module aims to:
- Promote an understanding of, and an interest in the issues of design for comfort for the occupants of the vehicle.
- Critical evaluation of future comfort features, and the engineering principles which underpin these feature.
- Transferable knowledge of comfort assessment methodologies which can be applied to engineering business and practice.
- This module will draw upon the close links that WMG has with the automotive industry to deliver industry-relevant theory and applied engineering.
Module Learning Objectives
By the end of the module you should be able to.
- Evaluate and understand the engineering principles that underpin the design of a vehicle for the comfort of the occupants and other road users.
- Anticipate the future direction of the design of comfort systems within the vehicle engineering sector.
- Consider the role and use of comfort systems in vehicle engineering.
- Demonstrate a knowledge and understanding of the legislative, social and environmental factors relevant to comfort in vehicles.
- Appraise and design in-vehicle interfaces aimed to improving comfort and convenience.
Principal Module Aim is to provide the theoretical background to basic and advanced modelling techniques and computational methods as used in engineering and to provide the necessary software application skills for using the techniques and methods in Matlab environment.
Timetabled Teaching Activities: 16 x 1hr lectures (Monday, Tuesday, weeks 11-22)
7 x 2hr Computational Laboratories (Wednesday, weeks 16-22)
2 x 1hr revision classes (weeks 24 and 31)
Advice and feedback hours are available for answering questions on the module (scheduled Monday 3pm-4pm and Tuesday 2pm-4pm, or appointment for another time slot by contacting via e-mail)The assessment will consists of written examination (50%), worksheet based on Laboratory Classes (15%), assignment (35%).
Students must pass individual coursework elements
Principal Learning Outcomes.
By the end of the module the student should be able to:
1. Built or select mathematical models over a wide range of application areas in engineering.
2. Intelligently select and use suitable computational methods and software systems for engineering tasks.
3. Evaluate the principles, purpose, and limitations of models and computational methods used in engineering software.
4. Implement, evaluate and use key computational methods in Matlab environment.