EMR 16 UdeS - Longueuil June 2016 Summer School EMR 16 Energetic Macroscopic Representation «Implementation and study of temperature effect on the Charger - Pack system using EMR» Lara Reyes Reyes, CTA-BRP & University of Sherbrooke Prof. João P. Trovão 1, Prof. Alain BOUSCAYROL 2 1 e-tesc, Université de Sherbrooke, Canada 2 L2EP, Université Lille1, MEGEVH network, France - Outline - 1. Introduction Objective and context Charging protocols Charger - pack circuit system representation 2 2. setting Cell circuit model Representation and equations of the thermal part 3. EMR&SMC Charger- pack Charger- pack with temperature effect System setting and SMC of the system Results and conclusions 1
Transmission 08/07/2016 EMR 16 UdeS - Longueuil June 2016 Summer School EMR 16 Energetic Macroscopic Representation «Introduction» - Objective and context of the project - 4 Study and representation of the Charger- system considering thermal effects. Electrical motor DC/DC Converter AC/DC converter high power Source Level 3 Source Level 1,2 AC/DC converter Low power Auxiliary DC/DC Converter 2
- Charging protocols - 5 IEC Applied in Europa and Asia ( International Electrotechnical Commission) Mode 1 Slow Mode 2 Normal Mode 3 Rapid Mode 4 Quick SAE International Applied in North America 16A 32A 80 A Level 1 Level 2 Level 3 ( Society of Automotive Engineers) Standards Development Process TESLA Mode Standard Mode 240 V Wall box Supercharger Not Standard Normative - Charger- pack complet circuit system- 6 Equivalent source Sector/Network Rectifier Chopper Bus DC Smoothing coil Capacitor (C bus ) sized to provide a stable voltage Source simplification in order to do the EMR Chopper/ converter considered perfect η = 1 3
Internal resistance (mω) 08/07/2016 EMR 16 UdeS - Longueuil June 2016 Summer School EMR 16 Energetic Macroscopic Representation «setting» - Electrical model of the battery (Simple cell) - 8 Negligible- Low current + _ The temperature of the cell has obtained with a thermal experimental process. 160 140 133.9 120 100 80 60 40 60.28 43.87 37.06 35.97 + _ 20 0-10 10 25 45 55 Temperature (ºC) 4
- Representation of the thermal effect in the system - 9 qs 3 R cond qs 2 R conv qs 4 qs 5 qs 1 R (T) C P T AMB - Equations of the thermal part - 10 For EMR. Kinetic variable = Entropy flow, qsx (W/ºK) Potential variable = Temperature, T (ºK) Aluminium Capacity Cell Capacity Convention resistance Conduction resistance 5
EMR 16 UdeS - Longueuil June 2016 Summer School EMR 16 Energetic Macroscopic Representation «Energetic Macroscopic Representation and SMC» - Identification and formalism «EMR» of the battery in the study- 12 Voltage source Ambient source Capacity Chopper/ Coil Rthermal Aluminium& cell capacity Charger Control the intensity of the charger Strategy control made to provide CCCV method charging 6
- EMR of the Charger system - 13 I res eq V res Equivalent source Chopper Smoothing coil Source V seq i seq m V chop i bat OCV - EMR of the system with temperature effect - Chopper Smoothing coil Coupling 14 Source V seq i seq m V chop i bat1 v bat1 i bat OCV capacity T amb qs 2 T_ s1 qs 4 T_ ins qs 5 Air qs 1 T_ s1 qs 3 T_ ins R conv aluminium capacity R cond cell capacity 7
- Charging method for the charge and dicharge cycles - 15 CCCV- Constant current /Constant voltage Cycle used to charge and discharge the battery in repeated occasions. The CCCV method allows reproduce almost the same load whatever the current level. Current control Voltage Control Stop of the charging I bat t Phase CC Phase VC V bat t - SMC and strategy for the Chager- system(1) - 16 Strategy with the method CC of charging First control Equivalent source Chopper Smoothing coil < V max (I imposed) Kr = 0 I bat = I ref_1 V seq V chop i bat Source m V bat i batmes V seqmes V chopref i batref1 Strategy CC 8
- SMC and strategy for the Chager- system (2) - 17 Strategy with the method CV of charging Equivalent source Chopper Smoothing coil Second control Vbat = Vmax Vbat = Vref_1 (V imposed) Kr = 1 V seq V chop i bat Source m V bat i batmes V seqmes V chopref i batref2 Strategy CV - SMC and strategy for the Chager- system (3) - 18 Strategy with the method CCCV of charging Equivalent source Chopper Smoothing coil V seq V chop i bat Source m V bat i batmes V seqmes V chopref i batref Strategy CCCV 9
Source Air - SMC proposition for the EMR with the thermal part- V seq T amb qs 1 i seq Chopper m qs 2 T_ s1 V chop T_ s1 Smoothing coil qs 3 i bat v bat T_ ins Coupling qs 4 T_ ins qs5 i bat OCV capacity 19 V seqmes R conv m Aluminium capacity R cond Cell capacity V chopref i batmes i batref Strategy CCCV EMR 16 UdeS - Longueuil June 2016 Summer School EMR 16 Energetic Macroscopic Representation «Results» 10
Internal resistance (mω) 08/07/2016 80 60 40 20 0 Current (A) - CCCV Strategy of charging for a Charger with SAE protocol- Voltage (V) Level 3 (SAE International) 21 80 70 60 50 0,5 1 1,5 2 Time(h) 30 20 10 0 Time(h) Level 2 (SAE International) 80 70 60 50 1 2 3 4 5 6 7 8 9 Time(h) - Internal resistence in fonction of the Temperature and OCV- 22 11
- Evolution of the thermal part Charger- system - 23 60 55 50 45 40 Tcell (ºC) Tmax cell= 56 ºC 35 30 25 Exponential increasing imposed Temperature stabilization 100 200 300 400 500 600 700 800 900 Time(s) EMR 16 UdeS - Longueuil June 2016 Summer School EMR 16 Energetic Macroscopic Representation «Conclusions» 12
- Conclusions and perspectives of the project Charger-BP - 25 Conclusions Adaptation of the protocol charging for the system studied. Implementation of the thermal part in the system using EMR. Level 2 Level 1 Level 3 Perspectives Improve the strategy of charging for the system with the thermal part. Add the control temperature in order to improve the system with the thermal part. EMR 16 UdeS - Longueuil June 2016 Summer School EMR 16 Energetic Macroscopic Representation «Bibliographies et references» 13
- References - 27 MSc. Lara REYES REYES University Lille1, L2EP, France University of Sherbrooke, e-tesc, CTA-BRP, Canada Collaboration with the Lab (e-tesc) and CTA-BRP MSc. in Power electronics, VIE, University Lille 1, France, 2016 Research topics: EMR and EVs and HEVs - References - 28 Prof. João Pedro TROVAO University of Sherbrooke, e-tesc, CTA-BRP, Canada Coordinator of Energy storage and conversion Lab (e-tesc) Ph.D. in Electrical Engineering, University of Coimbra, Portugal, Portugal, 2013 Research topics: EMR, tractions systems, EVs and HEVs Prof. Alain BOUSCAYROL University Lille 1, L2EP, MEGEVH, France Coordinator of MEGEVH, French network on HEVs PhD in Electrical Engineering at University of Toulouse (1995) Research topics: EMR, HIL simulation, tractions systems, EVs and HEVs 14
- References - 29 I. Aizpuru, I., U. Iraola, J.M. Canales, M. Echeverria, et I. Gil. «Passive balancing design for Li-ion battery packs based on single cell experimental tests for a CCCV charging mode». Dans 2013 International Conference on Clean Electrical Power (ICCEP), 93-98, 2013. II. L.BOULON,Master Automatique et Systemes Electriques de l'universite des Sciences et Technologies de Lille, M. Fran_cois BADIN, Mme. Maria PIETRZAK-DAVID, M. St_ephane RAEL, M. Kodjo AGBOSSOU, Mme. Marie- Cecile PERA, M. Rochdi TRIGUI, M. Daniel HISSEL, M. Alain BOUSCAYROL, M.Olivier «Modelisation multiphysique des elements de stockage et de conversion d'energie pour les vehicules electriques hybrides.». 116, 2009. III. IV. Jafari, M., A. Gauchia, Kuilin Zhang, et L. Gauchia. «Simulation and Analysis ofthe Effect ofreal-world Driving Styles in an EV Performance and Aging». IEEE Transactions on Transportation Electrification 1, no 4 (décembre 2015): 391-401. Xinfan Lin, Hector E. Perez, Jason B. Siegel, Anna G. Stefanopoulou, Fellow, IEEE, Yonghua Li, R. Dyche Anderson, Yi Ding, and Matthew P. Castanier «Online Parameterization of Lumped Thermal Dynamics in Cylindrical Lithium Ion Batteriesfor Core Temperature Estimation and Health Monitoring».IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, VOL. 21, NO. 5, SEPTEMBER 2013. V. Xinfan Lin a,*, Hector E. Perez a, Shankar Mohan b, Jason B. Siegel a, Anna G. Stefanopoulou a, Yi Ding c, Matthew P. Castanier «A lumped-parameter electro-thermal model for cylindrical batteries», Journal of Power Sources 257 (2014) 1e11. 15