Top

Electrical Engineering

Published in:

30-01-2023 | Original Paper

Development of a simulation interface for assessing electromagnetic transients in multiple Li-ion battery technologies assuming parameter variability

Authors: Vinicius Costa, Lucas B. S. Morais, Benedito D. Bonatto, Mauricio Campos Passaro, Eliane V. N. de Lorenci

Published in: Electrical Engineering | Issue 3/2023

Activate our intelligent search to find suitable subject content or patents.

search-config

AI-assisted search

Off

Abstract

The deployment of Li-ion batteries has been increasing extensively due to recent technological/economic breakthroughs and their high suitability to a range of applications. In this context, this paper (i) develops a simulation algorithm programmed in MATLAB® with a graphical user interface designed in Excel® to assess the transient responses in multiple Li-ion battery technologies and (ii) performs a comparative assessment of the transient responses to verify if there are significant differences. The simulation interface is required since the battery parameters are dependent on the state of charge; hence, conventional electromagnetic transients programs (e.g., ATPDraw®) cannot be directly applied to perform the simulations. Results demonstrate that the differences in the transient responses (terminal voltage) are considerable, particularly when applying robust input currents to the batteries (e.g., decreasing square wave and dynamic stress test). Among analyzed technologies, the Panasonic NCR18650B Li-ion battery showcased the most volatile transients. Hence, the results contradict the common sense that transients in Li-ion batteries are equivalent. The simulation interface is made available to foster further research on the topic.

previous article Islanding event detection technique based on change in apparent power in microgrid environment

next article Robust payment cost minimization in electricity markets

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

BloombergNEF (2020) Battery prices have fallen 88 percent over the last decade. https://arstechnica.com/science/2020/12/battery-prices-have-fallen-88-percent-over-the-last-decade/ . Accessed 24 Aug 2022

Costa V, Bonatto B, Zambroni A, Ribeiro P, Castilla M, Arango L (2021) Renewables with energy storage: a time-series socioeconomic model for business and welfare analysis. J Energy Storage. https://doi.org/10.1016/j.est.2021.103659CrossRef

Hu X, Zou C, Zhang C, Li Y (2017) Technological developments in batteries: a survey of principal roles, types, and management needs. IEEE Power Energy Mag 15(5):20–31. https://doi.org/10.1109/MPE.2017.2708812CrossRef

Chen M, Rincon-Mora GA (2006) Accurate electrical battery model capable of predicting runtime and I-V performance. IEEE Trans Energy Convers 21(2):504–511. https://doi.org/10.1109/TEC.2006.874229CrossRef

Zhang L, Wang S, Stroe D-I, Zou C, Fernandez C, Yu C (2020) An accurate time constant parameter determination method for the varying condition equivalent circuit model of lithium batteries. Energies (Basel) 13(8):2057. https://doi.org/10.3390/en13082057CrossRef

Ding X, Zhang D, Cheng J, Wang B, Luk PCK (2019) An improved Thevenin model of lithium-ion battery with high accuracy for electric vehicles. Appl Energy 254:113615. https://doi.org/10.1016/j.apenergy.2019.113615CrossRef

Tian N, Wang Y, Chen J, Fang H (2020) One-shot parameter identification of the Thevenin’s model for batteries: methods and validation. J Energy Storage 29:101282. https://doi.org/10.1016/j.est.2020.101282CrossRef

Diab Y, Auger F, Schaeffer E, Wahbeh M (2017) Estimating lithium-ion battery state of charge and parameters using a continuous-discrete extended Kalman filter. Energies (Basel) 10(8):1075. https://doi.org/10.3390/en10081075CrossRef

Tian N, Fang H, Chen J, Wang Y (2021) Nonlinear double-capacitor model for rechargeable batteries: modeling, identification, and validation. IEEE Trans Control Syst Technol 29(1):370–384. https://doi.org/10.1109/TCST.2020.2976036CrossRef

10.

Shirazi M, Zolghadri MR, Karimi H, Popov M (2011) Control of a distributed generation unit including PV-array, Hydrogen Unit and Battery Storage

11.

Mehmood KK, Khan SU, Haider ZM, Lee S, Rafique MK, Kim C (2017) Optimal planning of battery energy storage systems for mitigating voltage fluctuations in active distribution networks

12.

Qingyuan Y, Aoki M (2017) Suppression of voltage violation in PV connected distribution system via cooperation of battery energy storage system and SVR

13.

Patsios C et al (2016) An integrated approach for the analysis and control of grid connected energy storage systems. J Energy Storage 5:48–61. https://doi.org/10.1016/j.est.2015.11.011CrossRef

14.

Cabrane Z, Batool D, Kim J, Yoo K (2020) Design and simulation studies of battery-supercapacitor hybrid energy storage system for improved performances of traction system of solar vehicle. J Energy Storage 32:101943. https://doi.org/10.1016/j.est.2020.101943CrossRef

15.

Jami M, Shafiee Q, Gholami M, Bevrani H (2020) Control of a super-capacitor energy storage system to mimic inertia and transient response improvement of a direct current micro-grid. J Energy Storage 32:101788. https://doi.org/10.1016/j.est.2020.101788CrossRef

16.

Hajiaghasi S, Salemnia A, Hamzeh M (2019) Hybrid energy storage system for microgrids applications: a review. J Energy Storage 21:543–570. https://doi.org/10.1016/j.est.2018.12.017CrossRef

17.

Liu J, Hu C, Kimber A, Wang Z (2020) Uses, cost-benefit analysis, and markets of energy storage systems for electric grid applications. J Energy Storage 32:101731. https://doi.org/10.1016/j.est.2020.101731CrossRef

18.

Sharma A, Sharma S (2019) Review of power electronics in vehicle-to-grid systems. J Energy Storage 21:337–361. https://doi.org/10.1016/j.est.2018.11.022CrossRef

19.

Li X, Palazzolo A (2022) A review of flywheel energy storage systems: state of the art and opportunities. J Energy Storage 46:103576. https://doi.org/10.1016/j.est.2021.103576CrossRef

20.

Kumar D, Nema RK, Gupta S (2020) A comparative review on power conversion topologies and energy storage system for electric vehicles. Int J Energy Res 44(10):7863–7885. https://doi.org/10.1002/er.5353CrossRef

21.

Das CK, Bass O, Kothapalli G, Mahmoud TS, Habibi D (2018) Overview of energy storage systems in distribution networks: placement, sizing, operation, and power quality. Renew Sustain Energy Rev 91:1205–1230. https://doi.org/10.1016/j.rser.2018.03.068CrossRef

22.

Mandelli S et al (2016) The role of electrical energy storage in sub-Saharan Africa. J Energy Storage 8:287–299. https://doi.org/10.1016/j.est.2015.11.006CrossRef

23.

Zhang L et al (2021) Hybrid electrochemical energy storage systems: an overview for smart grid and electrified vehicle applications. Renew Sustain Energy Rev 139:110581. https://doi.org/10.1016/j.rser.2020.110581CrossRef

24.

Alavi SMM, Fekriasl S, Niyakan SN, Saif M (2019) Fault detection and isolation in batteries power electronics and chargers. J Energy Storage 25:100807. https://doi.org/10.1016/j.est.2019.100807CrossRef

25.

Berger M, Kocar I, Farantatos E, Haddadi A (2021) Modeling of Li-ion battery energy storage systems (BESSs) for grid fault analysis. Electr Power Syst Res 196:107160. https://doi.org/10.1016/j.epsr.2021.107160CrossRef

26.

Ding F, Li P, Huang B, Gao F, Ding C, Wang C (2010) Modeling and simulation of grid-connected hybrid photovoltaic/battery distributed generation system

27.

Go S-I, Choi J-H (2020) Design and dynamic modelling of PV-battery hybrid systems for custom electromagnetic transient simulation. Electronics (Basel) 9(10):1651. https://doi.org/10.3390/electronics9101651CrossRef

28.

Abuagreb M, Allehyani M, Johnson BK (2019) Design and test of a combined PV and battery system under multiple load and irradiation conditions. In: 2019 IEEE power & energy society innovative smart grid technologies conference (ISGT), pp 1–5. https://doi.org/10.1109/ISGT.2019.8791565

29.

Saad AA, Faddel S, Youssef T, Mohammed O (2019) Small-signal model predictive control based resilient energy storage management strategy for all electric ship MVDC voltage stabilization. J Energy Storage 21:370–382. https://doi.org/10.1016/j.est.2018.12.009CrossRef

30.

Kim J-H, Lee S-J, Kim E-S, Kim S-K, Kim C-H, Prikler L (2014) Modeling of battery for EV using EMTP/ATPDraw. J Electr Eng Technol 9(1):98–105. https://doi.org/10.5370/JEET.2014.9.1.098CrossRef

31.

Herath N, Filizadeh S, Toulabi MS (2019) Modeling of a modular multilevel converter with embedded energy storage for electromagnetic transient simulations. IEEE Trans Energy Convers 34(4):2096–2105. https://doi.org/10.1109/TEC.2019.2937761CrossRef

32.

Li W, Joos G, Belanger J (2010) Real-time simulation of a wind turbine generator coupled with a battery supercapacitor energy storage system. IEEE Trans Ind Electron 57(4):1137–1145. https://doi.org/10.1109/TIE.2009.2037103CrossRef

33.

Gong Z, Chowdhury A, Trescases O (2022) Lifetime performance analysis of imbalanced EV battery packs and small-signal cell modeling for improved active balancing control. IEEE Trans Power Electron 37(11):13264–13276. https://doi.org/10.1109/TPEL.2022.3186851CrossRef

34.

Liang G, Li J, He J, Tian J, Chen X, Chen L (2022) Numerical investigation on a unitization-based thermal management for cylindrical lithium-ion batteries. Energy Rep 8:4608–4621. https://doi.org/10.1016/J.EGYR.2022.03.081CrossRef

35.

Kong W et al (2022) Interface regulation for stabilizing phosphorous electrode with cyclically formed hetero-interfaces enables durable lithium-ion storage. Chem Eng J. https://doi.org/10.1016/J.CEJ.2022.137287CrossRef

36.

Lebrouhi BE, Lamrani B, Ouassaid M, Abd-Lefdil M, Maaroufi M, Kousksou T (2022) Low-cost numerical lumped modelling of lithium-ion battery pack with phase change material and liquid cooling thermal management system. J Energy Storage 54:105293. https://doi.org/10.1016/J.EST.2022.105293CrossRef

37.

Zhou W et al (2022) Thermal behavior analysis of lithium-ion capacitors at transient high discharge rates. J Energy Storage 53:105208. https://doi.org/10.1016/J.EST.2022.105208CrossRef

38.

Ajour MN, Milyani AH, Abu-Hamdeh NH, Al-Ebrahim MA, Karimipour A (2022) The investigation of battery thermal management via effects of using phase change materials in the oval packages around the lithium-ion battery cells with an airflow. J Energy Storage 53:105105. https://doi.org/10.1016/J.EST.2022.105105CrossRef

39.

Shukla K, Siddique ARM, Venkateshwar K, Mohaghegh MR, Tasnim SH, Mahmud S (2022) Experimental investigation on thermal field measurement of lithium-ion batteries under vibration. J Energy Storage 53:105110. https://doi.org/10.1016/J.EST.2022.105110CrossRef

40.

Pirooz A, Firouz Y, van Mierlo J, Berecibar M (2022) Voltage vector redundancy exploitation for battery balancing in three-phase CHB-based modular energy storage systems. IEEE Trans Ind Electron 69(9):9364–9375. https://doi.org/10.1109/TIE.2021.3116562CrossRef

41.

Wu N, Li X, Ouyang N, Zhang W (2022) Mini-channel liquid cooling system for large-sized lithium-ion battery packs by integrating step-allocated coolant scheme. Appl Therm Eng. https://doi.org/10.1016/J.APPLTHERMALENG.2022.118798CrossRef

42.

EPA (2021) Dynamometer drive schedules. https://www.epa.gov/vehicle-and-fuel-emissions-testing/dynamometer-drive-schedules

43.

Ferreira LFR, Bonatto B, Cogo JR, Jesus N, Dommel H, Martí J (2015) Comparative solutions of numerical oscillations in the trapezoidal method used by EMTP-based programs

44.

Chang W-Y (2013) The state of charge estimating methods for battery: a review. ISRN Appl Math 2013:1–7. https://doi.org/10.1155/2013/953792CrossRefMATH

45.

de Siqueira JCG, Bonatto BD, Martí JR, Hollman JA, Dommel HW (2015) A discussion about optimum time step size and maximum simulation time in EMTP-based programs. Int J Electr Power Energy Syst 72:24–32. https://doi.org/10.1016/j.ijepes.2015.02.007CrossRef

46.

Movassagh K, Raihan A, Balasingam B, Pattipati K (2021) A critical look at Coulomb counting approach for state of charge estimation in batteries. Energies 14(14):4074. https://doi.org/10.3390/EN14144074CrossRef

47.

Gao Y, Zhang X, Cheng Q, Guo B, Yang J (2019) Classification and review of the charging strategies for commercial lithium-ion batteries. IEEE Access 7:43511–43524. https://doi.org/10.1109/ACCESS.2019.2906117CrossRef

48.

Kuisti H (2003) Energisation of an unloaded transmission grid as part of restoration process

49.

Huang X et al (2020) A review of pulsed current technique for lithium-ion batteries. Energies (Basel) 13(10):2458. https://doi.org/10.3390/en13102458CrossRef

Title: Development of a simulation interface for assessing electromagnetic transients in multiple Li-ion battery technologies assuming parameter variability
Authors: Vinicius Costa
Lucas B. S. Morais
Benedito D. Bonatto
Mauricio Campos Passaro
Eliane V. N. de Lorenci
Publication date: 30-01-2023
Publisher: Springer Berlin Heidelberg
Published in: Electrical Engineering / Issue 3/2023
Print ISSN: 0948-7921
Electronic ISSN: 1432-0487
DOI: https://doi.org/10.1007/s00202-023-01752-3

Springer Professional

Abstract

Please log in to get access to your license.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"

Other articles of this Issue 3/2023

A novel pattern recognition-based plan for islanding detection in distribution systems in the presence of synchronous generator-based distributed generation resources

Structure evolving and comparative analysis of grid-connected converter output filter

Classification study of composite insulator chemical formulations based on laser-induced breakdown spectroscopy

Demagnetization fault detection of permanent magnet synchronous motor with convolutional neural network

Speed and rotor position estimation for sensorless brushless DC motor drive based on particle filter

Computation of steady-state operating conditions of a DFIG-based wind energy conversion system considering losses