Improved OCV Model of a Li-Ion NMC Battery for Online SOC Estimation Using the Extended Kalman Filter

Baccouche, Ines; Jemmali, Sabeur; Manaï, Bilal; Omar, Noshin; Amara, Najoua Essoukri Ben

doi:10.3390/en10060764

Cited by 109 publications

(44 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This voltage hysteresis is mainly due to the inherent properties of the silicon alloy anode. The voltage hysteresis of various other types of lithium-ion batteries is typically smaller: for example, for lithium nickel manganese cobalt oxide (NMC) versus graphite, NMC versus lithium titanium oxide, and lithium manganese oxide versus graphite, it is less than 0.05 V [21][22][23]. The large hysteresis for silicon alloy batteries increases the complexity of developing highly accurate SoC predictive algorithms or equivalent circuit models.…”

Section: Quasi-open-circuit Voltagementioning

confidence: 99%

Electrical Characterization and Micro X-ray Computed Tomography Analysis of Next-Generation Silicon Alloy Lithium-Ion Cells

Berckmans

Sutter

Kersys

et al. 2018

WEVJ

Self Cite

View full text Add to dashboard Cite

This study analyzed a prototype of a pouch cell containing silicon alloy anodes with the potential to significantly increase the energy density, resulting in improved autonomy for electric vehicles. An electrical characterization campaign was performed, resulting in three main observations. Firstly, measurements showed a high energy density, although a high lower cutoff voltage (3.0 V) was used due to the prototypical nature of the cells. Further optimization would allow a decrease of the lower cutoff voltage, resulting in an even higher energy density. Secondly, a large open-circuit voltage hysteresis was observed, increasing the complexity for equivalent circuit models. Thirdly, ballooning of the pouch cell was observed, most likely caused by gas formation. This leads to a loss of active surface area, significantly reducing the cell’s capacity. This third observation was more thoroughly investigated by 3D computed tomography, which showed mechanical deformation of the layers. An extensive literature review revealed that the addition of fluoroethylene carbonate (FEC) to the electrolyte enhances the cycling stability of silicon alloy batteries but leads to the production of CO 2 as a side reaction. Furthermore, the usage of external pressure was proposed and validated as a methodology to reduce the production of CO 2 while improving the cells’ performance.

show abstract

Section: Quasi-open-circuit Voltagementioning

confidence: 99%

Electrical Characterization and Micro X-ray Computed Tomography Analysis of Next-Generation Silicon Alloy Lithium-Ion Cells

Berckmans

Sutter

Kersys

et al. 2018

WEVJ

Self Cite

View full text Add to dashboard Cite

show abstract

“…Therefore, using OCV after enough resting to estimate battery SOC has become an effective and popular approach, which has been adopted in many applications [44,45]. Although high estimation accuracy of battery SOC can be achieved by the OCV method, the resting time has become a major limitation for OCV-based SOC estimation.…”

Section: Soc Estimationmentioning

confidence: 99%

A brief review on key technologies in the battery management system of electric vehicles

et al. 2018

View full text Add to dashboard Cite

Batteries have been widely applied in many high-power applications, such as electric vehicles (EVs) and hybrid electric vehicles, where a suitable battery management system (BMS) is vital in ensuring safe and reliable operation of batteries. This paper aims to give a brief review on several key technologies of BMS, including battery modelling, state estimation and battery charging. First, popular battery types used in EVs are surveyed, followed by the introduction of key technologies used in BMS. Various battery models, including the electric model, thermal model and coupled electro-thermal model are reviewed. Then, battery state estimations for the state of charge, state of health and internal temperature are comprehensively surveyed. Finally, several key and traditional battery charging approaches with associated optimization methods are discussed.

show abstract

“…Although Kalman filter and extended Kalman filter have been extensively introduced and employed to estimate battery SOC in recent years (e.g., [15,20,21,33,34]), its performance is strongly dependent on the accuracy of the predetermined noise matrix. Thus, it is necessary for the AEKF algorithm to adopt this problem in battery applications.…”

Section: Aekf Algorithmmentioning

confidence: 99%

Experimental Data-Driven Parameter Identification and State of Charge Estimation for a Li-Ion Battery Equivalent Circuit Model

Pang

Zhang

2018

Energies

View full text Add to dashboard Cite

It is well known that accurate identification of the key state parameters and State of Charge (SOC) estimation method for a Li-ion battery cell is of great significance for advanced battery management system (BMS) of electric vehicles (EVs), which further facilitates the commercialization of EVs. This study proposed a systematic experimental data-driven parameter identification scheme and an adaptive extended Kalman Filter (AEKF)-based SOC estimation algorithm for a Li-Ion battery equivalent circuit model in EV applications. The key state parameters of Li-ion battery cell were identified based on the second-order resistor capacitor (RC) equivalent circuit model and the experimental battery test data using genetic algorithm (GA). Meanwhile, the proposed parameter identification procedure was validated by carrying out a comparative study of the simulated and experimental output voltage under the same input current profile. Then, SOC estimation was performed based on the AEKF algorithm. Finally, the effectiveness and feasibility of the proposed SOC estimator was verified by loading different operating profiles.

show abstract

Improved OCV Model of a Li-Ion NMC Battery for Online SOC Estimation Using the Extended Kalman Filter

Cited by 109 publications

References 44 publications

Electrical Characterization and Micro X-ray Computed Tomography Analysis of Next-Generation Silicon Alloy Lithium-Ion Cells

Electrical Characterization and Micro X-ray Computed Tomography Analysis of Next-Generation Silicon Alloy Lithium-Ion Cells

A brief review on key technologies in the battery management system of electric vehicles

Experimental Data-Driven Parameter Identification and State of Charge Estimation for a Li-Ion Battery Equivalent Circuit Model

Contact Info

Product

Resources

About