107 Crown Station Place, Liverpool, UK, L7 3LB
Cell: +447721007284
Ke.fang@liv.ac.uk
Education Background
10.2008 ~02/2013 University of Liverpool
Development of Systematic Identification and Control Methods, PhD
09.2006 ~12. 2007 University of Liverpool
Mechanical Engineering, Master of Science
09.2001 ~07.2005 Qingdao University
Mechanical Automation, Bachelor of Science
Publications
K. FANG and A.T. Shenton, Constrained Optimal Test Signal Design for Improved Prediction
Error, accepted by IEEE Transaction on Automation Science and Engineering, 05/2013
K. FANG and A.T. Shenton, Optimal Input Design for Dynamic Engine Mapping, 6 th IFAC
Symposium Advances in Automotive Control, Munich,Germany, pp1-6, 2010
K. FANG and A.T. Shenton, Optimal Input Design for Dynamic Model Prediction Accuracy,
15 th IFAC Workshop on Control Applications of Optimization, Rimini, Italy, 2012
K. FANG and A.T. Shenton, Optimal Test Signal Design for the Identification of Dynamic Engine
Model, Powertrain Modelling and Control Conference, Bradford, UK, 2012
A.T.Shenton, K. Fang and P. Dickinson, I.C. Engine Dynamic Calibration and Control by Inverse
Optimal Behaviours, Powertrain Modelling and Control Conference, Bradford, UK, 2012
Honors
05.2011 Hongkong Academic Scholarship
05.2010 Hongkong Academic Scholarship
10.2008 Oversea Research Student Awards
09.2006 Faculty of Engineering Postgraduate International Scholarship
06.2005 Excellent Graduates of Qingdao University
12.2004 “Three goods” Student
10.2004 Excellent Student Representative
07.2004 Third Rank Scholarship
12.2003 “Three goods” Student
10.2003 Excellent Student Representative
12.2002 “Three goods” Student
10.2002 Excellent Student Representative
10.2002 First Rank Scholarship
03.2002 Second Rank Scholarship
10.2009 Teaching Assistant of the University of Liverpool
Course: Doctor 2D software

09.2001 ~ 06.2005 A member of Qingdao University Student Union
Assistant in the student administration office, help to hold student entertainment activities.
09.2001 ~ 06.2005 Leader of the Committee of the Class
Taking charge of class daily activities, such as collecting job-hunting related information, as well as that of skills of interview.
09.2013~now Electronic and Control Engineer of AVL Powertrain UK
11.2011~08.2013 Research Assistant (Associate) of the University of Liverpool
A research assistant (associate) working for a project of engine calibration.
3.2008 ~ 9.2008 Industry Designer of the Research and Development Center of Hisense
Corporation
An industry designer in charge of the television shell design.
Research Expertise and Skills
Research Expertise History
My main expertise is in optimal experiment design, dynamic system identification and controller design. My developed methods have been implemented to internal combustion engines modeling and control. The developed dynamic models are used for model-based engine calibration and control, and the accuracy of the models can be further improved by my proposed methodologies of experiment design and identification.
In my PhD I have developed advanced methods of optimal test signal design, model structure selection and parameter estimation for identification and have proved these as effective in
WAVE-RT model based Matlab simulations. I have the capability in the use of various model types in identification including polynomial, neural network and multi-linear models and also am able to use corresponding methodologies of selecting the model regression. Based on the determined model structure, I am capable of designing optimal input signals with maximized data information in order to further improve the model accuracy. Since simulation models are popular in model-based calibration and control, I also adapted the conventional prediction error based parameter estimation methods, such as ordinary square method, for better estimation accuracy in simulation models. Developed dynamic engine models include fuel, torque and emissions (NOx and PM) etc. Moreover, I have plenty of experience in controller design. I am able to design controllers by various algorithms in order to satisfy the practical requirements for engine control, e.g. tracking the desired engine speed and brake torque.
I have been working as a research assistant (associate) of the university of Liverpool for a project named CO
2
reduction through emissions optimization (CREO). We have developed a methodology of using dynamic model and dynamic model-based calibration (based on an inverse identification of the optimal engine behavior) to achieve the best fuel economy with constraint in the engine torque and emissions. The optimization toolbox (Matlab) is selected to solve the constrained optimization problems in the project and I am able to design objective functions and constraints according to different experiment requirements. I am also very familiar with various numerical optimization algorithms and design of feedforward/feedback controllers. I have developed skills in the use of WAVE and WAVE-RT modeling of IC engines and have an in-depth

knowledge of the calibration parameters and their effect on the fuel consumption, engine torque and emissions.
Summary of Skills:
Extensive knowledge of Dynamics, Matrices and Statistics
Ability in MatLab (Simulink, Optimization toolbox, System identification toolbox, MBC toolbox, etc.), C and VB Programming
Experience of Ricardo WAVE-Build and WAVE RT software
Skills in Dynamic System Identification using Multi-Model types