Optimization of an advanced battery model parameter minimization tool and development of a novel electrical model for lithium-ion batteries
| Autor: | Omar Hegazy, Yousef Firouz, Noshin Omar, Thierry Coosemans, Mohamed Abdel Monem, Dhammika Widanage, Peter Van Den Bossche, Joeri Van Mierlo |
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| Přispěvatelé: | Electromobility research centre, Electrical Engineering and Power Electronics, Industrial Sciences and Technology |
| Rok vydání: | 2013 |
| Předmět: |
Battery (electricity)
Engineering business.industry Energy Engineering and Power Technology chemistry.chemical_element Depth of discharge FreedomCAR Automotive engineering Levenberg-Marquardt Levenberg–Marquardt algorithm New battery model Nonlinear system HPPC-test chemistry Modeling and Simulation Validation Lithium Transient (oscillation) Minification Electrical and Electronic Engineering Thévenin's theorem business Simulation Battery models Thevenin |
| Zdroj: | International Transactions on Electrical Energy Systems. 24:1747-1767 |
| ISSN: | 2050-7038 |
| DOI: | 10.1002/etep.1815 |
| Popis: | This paper represents the optimization of an advanced battery model parameter minimization tool for estimation of lithium-ion battery model parameters. This system is called extended Levenberg–Marquardt. The proposed system is able to predict the nonlinearity of lithium-ion batteries accurately. A fitting percentage of over 99% between the simulation and experimental results can be achieved. Then, this paper contains a new second-order electrical battery model for lithium-ion batteries, extracted on the basis of experimental study and able to predict the battery behavior precisely. Further, in this paper, an extended comparative study of the performances of the various existing electrical battery models in the literature (Rint, RC, Thevenin, and FreedomCar) for lithium-ion batteries against the new developed battery model is presented, on the basis of the optimized battery parameter minimization tool. These battery models have been validated at different working conditions. From the analysis, one can observe that the new proposed battery model is more accurate than the existing ones and that it can predict the battery behavior during transient and steady-state operations. Finally, the new battery model has been validated at different working temperatures. The analysis shows that the error percentage between 0% and 90% depth of discharge at 40 °C is less than 1.5% and at 0 °C less than 5%. |
| Databáze: | OpenAIRE |
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