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Intelligent Power Management fo r Unmanned Vehicles

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Intelligent Power Management fo r Unmanned Vehicles. James Graham Roger Dixon, Keith Gregory Loughborough University. Introduction. Thermal Model Application – Load Management. Thermal Model of Generator. Thermal Model of Generator. Stator Iron. Stator Teeth. [C][d θ ] = [Y][ θ ] + [U]. - PowerPoint PPT Presentation

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Intelligent Power Management for Unmanned Vehicles James Graham Roger Dixon, Keith Gregory Loughborough University UKACC PhD Presentation Showcase

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Page 1: Intelligent Power Management fo r Unmanned Vehicles

Intelligent Power Management for Unmanned Vehicles

James GrahamRoger Dixon, Keith GregoryLoughborough University

UKACC PhD Presentation Showcase

http://www.lboro.ac.uk/

http://www.lboro.ac.uk/

Page 2: Intelligent Power Management fo r Unmanned Vehicles

UKACC PhD Presentation Showcase Slide 2

Introduction

Thermal Model

Application – Load Management

http://www.lboro.ac.uk/

Page 3: Intelligent Power Management fo r Unmanned Vehicles

Thermal Model of Generator

UKACC PhD Presentation Showcase Slide 3

∆𝑻=𝑸×𝑹

http://www.lboro.ac.uk/

Page 4: Intelligent Power Management fo r Unmanned Vehicles

UKACC PhD Presentation Showcase Slide 4

Thermal Model of Generator

[C][dθ] = [Y][θ] + [U]

Stator Iron

Stator Teeth

Stator Winding

http://www.lboro.ac.uk/

Page 5: Intelligent Power Management fo r Unmanned Vehicles

UKACC PhD Presentation Showcase Slide 5

Results

http://www.lboro.ac.uk/

Page 6: Intelligent Power Management fo r Unmanned Vehicles

Application – Background Greater Reliance on Electrical Power

Ensure Maximum Utilisation of Generators

Manage Fault Situations

UKACC PhD Presentation Showcase Slide 6

http://www.lboro.ac.uk/

Page 7: Intelligent Power Management fo r Unmanned Vehicles

Load Management

Yes

Optimise Loads for Power Available

UKACC PhD Presentation Showcase Slide 7

Load Management

System

http://www.lboro.ac.uk/

Page 8: Intelligent Power Management fo r Unmanned Vehicles

UKACC PhD Presentation Showcase Slide 8

Conclusions and Future Work

Current model give good results for step inputs

More Work being done to match model with more rapid changes of load

Basis of Load Management being undertaken in parallel

http://www.lboro.ac.uk/

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