Post on 16-Feb-2021
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
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« From EMR Prictograms to µC programming using Java»
- Outline -
1. Motivation2. Developing a new path3. Agile 1014. Planed releases5. Conclusions
EMR’18Hanoi (Vietnam)June 2018
« Motivation»
EMR’18, Hanoi, June 20184
« From EMR Prictograms to µC programming using Java»
- 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.
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« From EMR Prictograms to µC programming using Java»
- The EMR -
ElectronicControl Unit
sensors
From EMR
TO
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« From EMR Prictograms to µC programming using Java»
- 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?
EMR’18Hanoi (Vietnam)June 2018
« Agile 101»
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« From EMR Prictograms to µC programming using Java»
- 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
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« From EMR Prictograms to µC programming using Java»
- Agile 101 crash course -
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.
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« From EMR Prictograms to µC programming using Java»
- Agile 101 crash course -
EMR’18Hanoi (Vietnam)June 2018
« System to build and releases»
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« From EMR Prictograms to µC programming using Java»
- System to develop -
Proposition 1: A generic EMR pictogram EditorWhy is interesting for EMR community?
Already done and used with limitations for uC programing…
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« From EMR Prictograms to µC programming using Java»
- System to develop -
Proposition 2: A discrete Java simulator (using #1)Why is interesting for EMR community?
? Not just a simulator
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« From EMR Prictograms to µC programming using Java»
- System to develop -
Proposition: A Java generatorWhy is interesting for EMR community?
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« From EMR Prictograms to µC programming using Java»
- System to develop -
Answer the industrial partners demand…
EMR’18Hanoi (Vietnam)June 2018
« Example: First step for an editor »
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« From EMR Prictograms to µC programming using Java»
- Example -
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« From EMR Prictograms to µC programming using Java»
- Example -
EMR’18Hanoi (Vietnam)June 2018
« Conclusions»
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« From EMR Prictograms to µC programming using Java»
- 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.
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EMR’18Hanoi (Vietnam)June 2018
« BIOGRAPHIES AND REFERENCES »
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« From EMR Prictograms to µC programming using Java»
- 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
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« From EMR Prictograms to µC programming using Java»
- 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.
EMR’18Hanoi (Vietnam)June 2018
« Appendix: new EMR pictograms »
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« From EMR Prictograms to µC programming using Java»
- 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 »
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« From EMR Prictograms to µC programming using Java»
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
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« From EMR Prictograms to µC programming using Java»
stratégie
- Control pictograms -
(support squarea x a)(same pictograms – same size -
with or without oblique bar)
borders of controlelements = b/2 pt
signal vectors(size b/2, empty arrows)
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« From EMR Prictograms to µC programming using Java»
Source
- estimation pictograms -
borders of estimationelements = b/2 pt
signal vectors(size b/2, empty arrows)
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« From EMR Prictograms to µC programming using Java»
- 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