| EPSRC Reference: |
GR/R19946/01 |
| Title: |
Model Predictive Control For Energy Management In All/More-Electric Vehicles |
| Principal Investigator: |
Bingham, Professor CM |
| Other Investigators: |
|
| Researcher Co-Investigators: |
|
| Project Partners: |
|
| Department: |
Electronic and Electrical Engineering |
| Organisation: |
University of Sheffield |
| Scheme: |
Fast Stream |
| Starts: |
15 October 2001 |
Ends: |
14 April 2003 |
Value (£): |
65,313
|
| EPSRC Research Topic Classifications: |
| Electric Motor & Drive Systems |
Energy Efficiency |
|
| EPSRC Industrial Sector Classifications: |
| Energy |
Transport Systems and Vehicles |
|
| Related Grants: |
|
| Panel History: |
|
|
Summary on Grant Application Form |
|
Methodologies currently employed for energy management in electric vehicles are generally the result of extensive experimental trials and iterative modifications, resulting in map-based empirical solutions which have limited flexibility to cope with different driving styles and driving cycles, or the real-time macro-dynamics of the power-train that can have a significant effect on the long-term economic tilisation of the energy storage components.This proposal is concerned with the development of predictor-based optimal energy management strategies to accommodate long-term economic as well as performance requirements of all-electric and hybrid-electric vehicles. The research programme embraces the development of power conservative simulation models of all-electric and dual-source hybrid drive-train topologies; identification and assessment of model-predictive control techniques for optimal energy management; analysis of the effects of different prediction horizons on the dynamic performance, efficiency, and economic operation of the drive-train; and preliminary investigations of component stresses within the power train.The findings will be validated on an existing brass-board demonstrator of an all-electric vehicle drive-train equipped with multiple energy sources.
|
|
Key Findings |
|
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
|
|
Potential use in non-academic contexts |
|
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
|
|
Impacts |
|
| Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
| Summary |
|
| Date Materialised |
|
|
|
|
Sectors submitted by the Researcher |
|
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
|
| Project URL: |
|
| Further Information: |
|
| Organisation Website: |
http://www.shef.ac.uk |