Conference article

A real time capable battery model for electric mobility applications using optimal estimation methods

Jonathan Brembeck
German Aerospace Center (DLR) Oberpfaffenhofen, Institute of Robotics and Mechatronics, Germany

Sebastian Wielgos
German Aerospace Center (DLR) Oberpfaffenhofen, Institute of Robotics and Mechatronics, Germany

Download articlehttp://dx.doi.org/10.3384/ecp11063398

Published in: Proceedings of the 8th International Modelica Conference; March 20th-22nd; Technical Univeristy; Dresden; Germany

Linköping Electronic Conference Proceedings 63:43, p. 398-405

Show more +

Published: 2011-06-30

ISBN: 978-91-7393-096-3

ISSN: 1650-3686 (print), 1650-3740 (online)

Abstract

In this paper a modeling approach for Lithium-Ion cell online monitoring and offline benchmarking is proposed. It combines physical modeling in equivalent electric circuit representation with grid tables of cell type characteristic information from laboratory tests. The model is fully parameterized and validated with cells used in the HighVoltage battery pack of DLR research robotic electric vehicle ROboMObil.

Keywords

BMS (BatteryManagementSystem); SOC (StateOfCharge); EKF (ExtendedKalmanFilter); BEV (BatteryElectricVehicle)

References

[And04] André; M. (2004). The ARTEMIS European driving cycles for measuring car pollutant emissions. Science of The Total Environment; 334-335; 73-84. doi: 10.1016/j.scitotenv.2004.04.070.

[Com10] Batteries and Fuel Cells Module. Retrieved 2010; from http://www.comsol.com/showroom/gallery/686/

[Böh08] Böhm; K. A. (2008). Charakterisierung und Modellierung von elektrischen Energiespeichern für das Kfz. Aachen: Shaker Verlag.

[Bre11] Brembeck; J.; Ho; L. M.; Schaub; A.; Satzger; C.; & Hirzinger; G. (2011). ROMO – the robotic electric vehicle - Submitted for publication. IAVSD

[Eng10] Engst; C.; Brembeck; J.; Otter; M.; & Kennel; R. (2010). Object-Oriented Modelling and Real-Time Simulation of an Electric Vehicle in Modelica. Technische Universität München

[Che09] Cheng; L.; Ke; C.; Fengchun; S.; Peng; T.; & Hongwei; Z. (2009). Research on thermophysical properties identification and thermal analysis of EV Li-ion battery.; Vehicle Power and Propulsion Conference; 2009. VPPC ’09. IEEE; 2009; 1643-1648. doi: 10.1109/VPPC.2009.5289653.

[Gra02] Graaf; R. (2010). Simulation hybrider Antriebskonzepte mit Kurzzeitspeicher für Kraftfahrzeuge. Ika RWTH; Aachen.

[iME10] i+ME ACTIA. (n.d.). Retrieved 11 2010; from http://www.ime-actia.com/download/IR11652_BMS_GB.pdf

[Joo08] Joos; H.-D.; Bals; J.; Looye; G.; Schnepper; K.; & Varga; A. (2008). MOPS: Eine integrierte optimierungsbasierte Entwurfsumgebung für mehrzielige; parametrische Analyse und Synthese. DGLR Workshop Systemidentifizierug; Parameterschätzung und Optimierung.

[Lio10] LionSmart. (2010). Retrieved 11 2010; from http://www.lionsmart.com/

[Mat08] Matsushita; T.; Yabuta; K.; Tsujikawa; T.; Matsushima; T.; Arakawa; M.; & Kurita; K. (2008). Construction of three-dimensional thermal simulation model of lithium-ion secondary battery.; Telecommunications Energy Conference; 2008. INTELEC 2008. IEEE 30th International; 2008; 1 -6

[Mer04] Merwe; R. ; Wan; E.; & Julier; S. (2004). Sigma-Point Kalman Filters for Nonlinear Estimation and Sensor-Fusion: Applications to Integrated Navigation; AIAA Guidance; Navigation; and Control Conference and Exhibit; 2004

[Mi07] Mi; C.; Li; B.; Buck; D.; & Ota; N. (2007). Advanced Electro-Thermal Modeling of Lithium-Ion Battery System for Hybrid Electric Vehicle Applications.; Vehicle Power and Propulsion Conference; 2007. VPPC 2007. IEEE; 2007; 107 -111. doi: 10.1109/VPPC.2007.4544108.

[Ple04] Plett; G. (2004). High-performance batterypack power estimation using a dynamic cell model. Vehicular Technology; IEEE Transactions on ; 53 (5); 1586-1593. doi: 10.1109/TVT.2004.832408.

[Ple04b] Plett; G. L. (2004). Extended Kalman filtering for battery management systems of LiPBbased HEV battery packs: Part 1. Background. Journal of Power Sources ; 134 (2); 252-261. doi: 10.1016/j.jpowsour.2004.02.031.

[Ple04c] Plett; G. L. (2004). Extended Kalman filtering for battery management systems of LiPBbased HEV battery packs: Part 2. Modeling and identification. Journal of Power Sources ; 134 (2); 262-276. doi: 10.1016/j.jpowsour.2004.02.032.

[Ple04d] Plett; G. L. (2004). Extended Kalman filtering for battery management systems of LiPBbased HEV battery packs: Part 3. State and parameter estimation. Journal of Power Sources ; 134 (2); 277-292. doi: 10.1016/j.jpowsour.2004.02.033.

[Sim06] Simon; D. (2006). Optimal State Estimation: Kalman; H Infinity; and Nonlinear Approaches (1. Auflage ed.). Wiley & Sons.

[Sti08] Stiftl; J. (2008). Modellierung und Bewertung von Fahrzeugen mit seriellem Plug-In Hybridantrieb. Hochschule Karlsruhe – Technik und Wirtschaft: Diplomarbeit.

[Wie10] Wielgos; S.; Brembeck; J.; Otter; M.; & Kennel;R. (2010). Development of an Energy Management System for Electric Vehicles Design and System Simulation. Technische Universität München.

Citations in Crossref