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EMR’17 University Lille 1 June 2017 Summer School EMR’17 “Energetic Macroscopic Representation” « EMR of a Supply System for Medical Application » Prof. Philippe BARRADE HES-SO Valais/Wallis, Switzerland University of Applied Sciences Western Switzerland

« EMR of a Supply System for Medical Application · EMR’17, University Lille 1, June 2017 2 « EMR of a Supply System…» - Outline - 1. Introduction 2. EMR for the identification

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Page 1: « EMR of a Supply System for Medical Application · EMR’17, University Lille 1, June 2017 2 « EMR of a Supply System…» - Outline - 1. Introduction 2. EMR for the identification

EMR’17

University Lille 1

June 2017

Summer School EMR’17

“Energetic Macroscopic Representation”

« EMR of a Supply System for Medical

Application »

Prof. Philippe BARRADE

HES-SO Valais/Wallis, Switzerland

University of Applied Sciences Western Switzerland

Page 2: « EMR of a Supply System for Medical Application · EMR’17, University Lille 1, June 2017 2 « EMR of a Supply System…» - Outline - 1. Introduction 2. EMR for the identification

EMR’17, University Lille 1, June 20172

« EMR of a Supply System… »

- Outline -

1. Introduction

2. EMR for the identification of sizing criteria

• Maximal conversion structure

• EMR and IBC

• From strategy to design criteria

3. From the functionality to the design

• Conventional design

• Function identification

• From the function to the structure

4. Conclusion

Page 3: « EMR of a Supply System for Medical Application · EMR’17, University Lille 1, June 2017 2 « EMR of a Supply System…» - Outline - 1. Introduction 2. EMR for the identification

EMR’17

University Lille 1

June 2017

Summer School EMR’17

“Energetic Macroscopic Representation”

« Introduction »

Page 4: « EMR of a Supply System for Medical Application · EMR’17, University Lille 1, June 2017 2 « EMR of a Supply System…» - Outline - 1. Introduction 2. EMR for the identification

EMR’17, University Lille 1, June 20174

« EMR of a Supply System… »

- General context -

• Design the supply of a system for radiography (X-rays radiography)

Supply

Systems

VSI

+

Xray tube

(+ heating system)

Teleoptics

+

Imaging Detector

Auxiliaries

+

Computers & Monitors

Low Voltage

Single Phase

AC grid

Low Voltage

DC (Batts./PVs)

Page 5: « EMR of a Supply System for Medical Application · EMR’17, University Lille 1, June 2017 2 « EMR of a Supply System…» - Outline - 1. Introduction 2. EMR for the identification

EMR’17, University Lille 1, June 20175

« EMR of a Supply System… »

- Requirements and Constraints -

• Main requirements

– Low Voltage AC grid (230V@50Hz): max 500W, complies with standard EMC

requirements

– Low Voltage DC (12V-48V): max 500W, galvanic insulation

– X-ray system:

• 75 constant heating process

• Up to 2kW for pre-heating process plus anod start-up (3sec)

• Up to 30kW for X-ray generation – from 0.5sec up to 1 sec

– Auxiliaries: fed by DC voltage (24V), up to 250W

• Constraints

– Developed for Africa (costs, reliability, maintenance free/easy)

– Must include energy storage (power and energy buffer)

Page 6: « EMR of a Supply System for Medical Application · EMR’17, University Lille 1, June 2017 2 « EMR of a Supply System…» - Outline - 1. Introduction 2. EMR for the identification

EMR’17, University Lille 1, June 20176

« EMR of a Supply System… »

- Developments -

• First system: AC grid is weak

– « Full options » solution

• Integration of batteries and supercaps

• All the needs must be assumed by the Supply System to be designed

• Second System: AC grid is stable

– « low cost solution »

• Integration of supercaps only

• The Supply System will cover only the needs for the X-ray tube

Page 7: « EMR of a Supply System for Medical Application · EMR’17, University Lille 1, June 2017 2 « EMR of a Supply System…» - Outline - 1. Introduction 2. EMR for the identification

EMR’17

University Lille 1

June 2017

Summer School EMR’17

“Energetic Macroscopic Representation”

« EMR for the identification of sizing

criteria »

Page 8: « EMR of a Supply System for Medical Application · EMR’17, University Lille 1, June 2017 2 « EMR of a Supply System…» - Outline - 1. Introduction 2. EMR for the identification

EMR’17, University Lille 1, June 20178

« EMR of a Supply System… »

- Maximal Conversion Structure (1) -

• For the « Full options » solution

– Which kind of conversion structure?

– Where can the battery and the supercapacitors be inserted?

• Activity on the system structure level

– How to be sure to not forget a solution or a possibility

• Maximal Conversion Structure (in a macroscopic approach)

Page 9: « EMR of a Supply System for Medical Application · EMR’17, University Lille 1, June 2017 2 « EMR of a Supply System…» - Outline - 1. Introduction 2. EMR for the identification

EMR’17, University Lille 1, June 20179

« EMR of a Supply System… »

- Maximal Conversion Structure (2) -

AC

DC

230V/110V

50/60Hz

AC

DC

DC

AC

DC

DC AC

DC

DC

DC

DC

DC

DC

DC

DC

DC

DC

AC

DC bus

AC

DC

DC

AC

X-rays

DC

DC

DC

AC

230V/110V

50/60Hz

DC

AC

230V/110V

50/60Hz

230V/110V

50/60Hz

DC

DC

Aux 2

DC

AC

Aux 1

Page 10: « EMR of a Supply System for Medical Application · EMR’17, University Lille 1, June 2017 2 « EMR of a Supply System…» - Outline - 1. Introduction 2. EMR for the identification

EMR’17, University Lille 1, June 201710

« EMR of a Supply System… »

- Maximal Conversion Structure (3) -

• After simplifications….

– Conversion system is still presented through the functions to be implemented

Page 11: « EMR of a Supply System for Medical Application · EMR’17, University Lille 1, June 2017 2 « EMR of a Supply System…» - Outline - 1. Introduction 2. EMR for the identification

EMR’17, University Lille 1, June 201711

« EMR of a Supply System… »

- EMR and IBC (1) -

• If the functions to be implemented are identified

– Use of EMR and IBC to identify Voltage/Current, Power/energy constraints

Page 12: « EMR of a Supply System for Medical Application · EMR’17, University Lille 1, June 2017 2 « EMR of a Supply System…» - Outline - 1. Introduction 2. EMR for the identification

EMR’17, University Lille 1, June 201712

« EMR of a Supply System… »

- EMR and IBC (2) -

• Thanks to the implementation of different strategies

– Various scenarios are evaluated, constraints are identified

• Used to size the battery and the supercapacitors

Page 13: « EMR of a Supply System for Medical Application · EMR’17, University Lille 1, June 2017 2 « EMR of a Supply System…» - Outline - 1. Introduction 2. EMR for the identification

EMR’17

University Lille 1

June 2017

Summer School EMR’17

“Energetic Macroscopic Representation”

« From the functionality to the design »

Page 14: « EMR of a Supply System for Medical Application · EMR’17, University Lille 1, June 2017 2 « EMR of a Supply System…» - Outline - 1. Introduction 2. EMR for the identification

EMR’17, University Lille 1, June 201714

« EMR of a Supply System… »

- Conventional design -

ur

ir

Redr. Buck

C

L,rBoost

Cscap

IL

d1 d2

ULU1 U2

Iscap

Uscap

• For the « low cost solution » solution

– Supercapacitors charger

– Max Power 500W, Power Factor Correction

• Let’s the « Power Electronicians » play!

*

*

+

-

ControlerIscap_ref

PFC IL_mes

d1=d2

Page 15: « EMR of a Supply System for Medical Application · EMR’17, University Lille 1, June 2017 2 « EMR of a Supply System…» - Outline - 1. Introduction 2. EMR for the identification

EMR’17, University Lille 1, June 201715

« EMR of a Supply System… »

- Function identification -

Cscap

Iscap

Uscap

Ls

U3

Iscap

Uc

Ic2

C

Ic1

Uc

d1

IL

U2

L

U1

IL

ur

d2

Iscap_refU3_ref

Uc_refIc1_ref

U2_ref

IL_ref

Cscap

Iscap

Uscap

Ls

U3

Iscap

Uc

Ic2

C

Ic1

Uc

fm

ir

U2

L

ur

ur

ir

d2

Iscap_refU3_ref

Uc_refIc1_ref

U2_ref

IL_ref

• Merge of EMR methodology and design rules in Power Electronics

ur

ir

Page 16: « EMR of a Supply System for Medical Application · EMR’17, University Lille 1, June 2017 2 « EMR of a Supply System…» - Outline - 1. Introduction 2. EMR for the identification

EMR’17, University Lille 1, June 201716

« EMR of a Supply System… »

- From the function to the structure (1) -

ur

ir

Redr. BuckL,r Boost

Cscap

IL

d2d1

U1 U2

Iscap

UscapC

Ic1 Ic1Ls,rs

U3

Cscap

Iscap

Uscap

Ls

U3

Iscap

Uc

Ic2

C

Ic1

Uc

d1

IL

U2

L

U1

IL

ur

ur

ir

d2

Iscap_refU3_ref

Uc_refIc1_ref

U2_ref

IL_ref

• Convert EMR into structural representation

Page 17: « EMR of a Supply System for Medical Application · EMR’17, University Lille 1, June 2017 2 « EMR of a Supply System…» - Outline - 1. Introduction 2. EMR for the identification

EMR’17, University Lille 1, June 201717

« EMR of a Supply System… »

- From the function to the structure (2) -

• Structure actually under development

Page 18: « EMR of a Supply System for Medical Application · EMR’17, University Lille 1, June 2017 2 « EMR of a Supply System…» - Outline - 1. Introduction 2. EMR for the identification

EMR’17

University Lille 1

June 2017

Summer School EMR’17

“Energetic Macroscopic Representation”

« Conclusion »

Page 19: « EMR of a Supply System for Medical Application · EMR’17, University Lille 1, June 2017 2 « EMR of a Supply System…» - Outline - 1. Introduction 2. EMR for the identification

EMR’17

University Lille 1

June 2017

Summer School EMR’17

“Energetic Macroscopic Representation”

« Conclusion »

EMR has been used to test various scenarios

Aiming at size various storage elements

EMR has been used to identify a conversion structure

From the function to the conversion structure

Association rules have been used

Enable keeping physical causality in conflict of association,

Linked with design rules in power electronics

Page 20: « EMR of a Supply System for Medical Application · EMR’17, University Lille 1, June 2017 2 « EMR of a Supply System…» - Outline - 1. Introduction 2. EMR for the identification

EMR’17, University Lille 1, June 201720

« EMR of a Supply System… »

- Title of the slide -

Prof. P. Barrade

Institute for Systems Engineering

University of Applied Sciences Western Switzerland

PhD in Electrical Engineering at University of Toulouse (1997)

Research topics: Power Electronics, Energy Storage, HIL Simulation, Hybrid Systems