« From EMR Pictograms to µC programming using Java · 2018. 7. 15. · EMR’18, Hanoi, June 2018 2 «From EMR Prictograms to µC programming using Java» - Outline - 1. Motivation

EMR’18Hanoi (Vietnam)June 2018

« From EMR Pictograms to µC programming using Java»

Prof. Ruben Gonzalez-Rubio and Prof. João P. TrovãoUniversity of Sherbrooke

Joint Summer School EMR’18“Energetic Macroscopic Representation”

14e COMMISSION DE COOPÉRATION QUÉBEC-VIETNAM

EMR’18, Hanoi, June 20182

« From EMR Prictograms to µC programming using Java»

- Outline -

1. Motivation2. Developing a new path3. Agile 1014. Planed releases5. Conclusions


« Motivation»



- The EMR -

The EMR is a very powerful tool, allowing to go from a model to a final system.• Modeling the system.• Simulate the system (using MatLab and SimuLink).• Simulate or emulate the system with hardware in the

loop.• Some parts will be done in software by a µC or

various µC• Final system will use only µC(s)

The EMR is a very structured approach. That helps a design to succeed. That is priceless in engineering.



- The EMR -

ElectronicControl Unit

sensors

From EMR

TO



- The EMR -

Our experience with the way we use MatLab and SimuLink, and the C-code produced by SimuLink to small micro controllers face some difficulties.

We had problems when building The 1st prototype of a system.• Modeling and simulate a system was fine (with

EMR).• Designing the electrical part was also fine.• Building the electrical part was painful job.• Integration between hardware and software was

the biggest problem.• Configuration of µC, programming the µC?


« Agile 101»



- Agile 101 crash course -

From the Agile manifestoOrganizational:• Customer collaboration.• Working software• Produce minimal

functionality• Produce only the

product requested• Produce only code

and test• Responding to needed

change




From the Agile manifesto:Technical implication.• Develop iteratively:

• Produce frequent working iteration. A live example.

• Freeze requirement during iterations.

• Treat tests as a key resource.


« System to build and releases»



- System to develop -

Proposition 1: A generic EMR pictogram EditorWhy is interesting for EMR community?

Already done and used with limitations for uC programing…




Proposition 2: A discrete Java simulator (using #1)Why is interesting for EMR community?

? Not just a simulator




Proposition: A Java generatorWhy is interesting for EMR community?




Answer the industrial partners demand…


« Example: First step for an editor »



- Example -


« Conclusions»



- Conclusion -

We presented a plan for developing tools with the goal to satisfy industrial projects.

The proposal is based in a “new” way to develop software: based in iterations and delivering working software that can be useful.

We feel that the ERM team can help us improve the application.

We are ready to collaborate.

????????


« BIOGRAPHIES AND REFERENCES »



- Authors -

Prof. Ruben GONZALEZ-RUBIOUniversité de Sherbrooke, eXit Lab., Qc, CanadaDèsS in Mathematics at Université Pierre and Marie Curie (1987). Research topics: Software engineering, Optimization, Artificial Intelligence,

Prof. João P. TROVÃOUniversité de Sherbrooke, e-TESC Lab., Qc, CanadaPhD in Electrical Engineering at University of Coimbra (2012)Research topics: Electric Vehicles, Multiple Energy Storages, Energy Management



- References -

A. Bouscayrol et al., "Teaching drive control using Energetic Macroscopic Representation — Summerschools," Proceedings of the 2011 14th European Conference on Power Electronics and Applications,Birmingham, 2011, pp. 1-6.

B. B. Meyer., “Agile: The Good, the Hype and the Ugly”, Springer, 2014.

C. F. A. LeBel, P. Messier, L. Pelletier and J. P. Trovao, "Benefits of Regenerative Braking for an ElectricSuperbike Using Energetic Macroscopic Representation," 2017 IEEE Vehicle Power and PropulsionConference (VPPC), Belfort, 2017, pp. 1-6.

D. R. German et al., "Coupled electric and thermal batteries models using energetic macroscopicrepresentation (EMR) for range estimation in electric vehicles," 2017 19th European Conference onPower Electronics andApplications (EPE'17 ECCE Europe), Warsaw, 2017, pp. P.1-P.8.

E. B. H. Nguyen, J. P. Trovao, R. German and A. Bouscayrol, "An Optimal Control-Based Strategy forEnergy Management of Electric Vehicles Using Battery/Supercapacitor," 2017 IEEE Vehicle Power andPropulsion Conference (VPPC), Belfort, 2017, pp. 1-6.

F. R. Gonzalez-Rubio, A. Khoumsi, M. Dubois and J. P. Trovao, "Problem- and Project-Based Learning inEngineering: A Focus on Electrical Vehicles," 2016 IEEE Vehicle Power and Propulsion Conference(VPPC), Hangzhou, 2016, pp. 1-6.


« Appendix: new EMR pictograms »



- Colors -

violetpalegreen gold

Powersystem

Powersource

Systemmodel

Systemcontrol

Controlstrategy

blueskyblue

Web X11 colour, standard colours on web pageshttp://en.wikipedia.org/wiki/Web_colors

• light green background RGB = (152,251,152) « pale green »• dark green border RGB = (0,128,0)« greeen »

• orange background RGB = (255,215,0)« gold » • red border RGB = (255,0,0)« red »

• purple background RGB = (238,130,238)« violet » • dark blue border RGB = (0,0,255)« blue »

• light blue background RGB = (135,206,235)« sky blue » • dark blue border RGB = (0,0,255)« blue »

• dark blue background RGB = (0,0,255)« blue » • dark blue border RGB = (0,0,255)« blue »



element name

Name

No equation number in slides

x1

y1

- EMR pictograms -

element name element name

element name element name

power vectors(size b, full arrows)

signal vectors(size b/2, empty arrows)

(radius= a)

borders of powerelements = b pt

(a/2 x a) (a x a)(2a x a)

a

2a



stratégie

- Control pictograms -

(support squarea x a)(same pictograms – same size -

with or without oblique bar)

borders of controlelements = b/2 pt




Source

- estimation pictograms -

borders of estimationelements = b/2 pt




- Example -

ich1

ubat

ifield

efield

battery choppers

DC machine

ubatBat.

itotEnv.

uch1

iarm

iarm

earm Tem

W gear

Tgear

Wwh

Fwh

Fres

vev

vev

gearbox

mch1

ifield

uch2

ich2

ubat

parallel connexion wheel

chassis

environment

mch2

ifield-ref

uch1-ref iarm-ref

Tem-ref Tgear-ref Fwh-ref vev-ref

uch2-ref

strategy driver requestSoCest

Wwh-est vev-est

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« From EMR Pictograms to µC programming using Java · 2018. 7. 15. · EMR’18, Hanoi, June 2018 2 «From EMR Prictograms to µC programming using Java» - Outline - 1. Motivation