State of Charge Estimation for Lithium-Ion Batteries Based on Temperature-Dependent Second-Order RC Model

Xu, Yidan; Hu, Minghui; Fu, Chunyun; Cao, Kaibin; Su, Zhong; Yang, Zhong

doi:10.3390/electronics8091012

Cited by 48 publications

(28 citation statements)

References 31 publications

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“…R 1 and C 1 describe the charge transfer resistance and double layer capacitance respectively while R 2 and C 2 are used to capture battery diffusion effects. A detailed presentation and discussion of the model can be found in [54][55][56].…”

Section: Equivalent Circuit Battery Modelmentioning

confidence: 99%

Degradation Cost Analysis of Li-Ion Batteries in the Capacity Market with Different Degradation Models

et al. 2020

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Increased deployment of intermittent renewable energy plants raises concerns about energy security and energy affordability. Capacity markets (CMs) have been implemented to provide investment stability to generators and secure energy generation by reducing the number of shortage hours. The research presented in this paper contributes to answering the question of whether batteries can provide cost effective back up services for one year in this market. The analysis uses an equivalent circuit lithium ion battery model coupled with two degradation models (empirical and semi-empirical) to account for capacity fade during battery lifetime. Depending on the battery’s output power, four de-rating factors of 0.5 h, 1 h, 2 h and 4 h are considered to study which de-rating strategy can result in best economic profit. Two scenarios for the number of shortage hours per year in the CM are predicted based on the energy demand data of Great Britain and recent research. Results show that the estimated battery profit is maximum with 2 h and 1 h de-rating factors and minimum with 4 h and 0.5 h. Depending on the battery degradation model used, battery degradation cost can considerably impact the potential profit if the battery’s temperature is not controlled with adequate thermal management system. The empirical and semi-empirical models predict that the degradation cost is minimum at 5 °C and 25 °C respectively. Moreover, both models predict degradation is minimum at lower battery charge levels. While the battery’s capacity fade can be minimized to make some profits from the CM service, the increased shortage hours can make providing this service not economically viable.

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Section: Equivalent Circuit Battery Modelmentioning

confidence: 99%

Degradation Cost Analysis of Li-Ion Batteries in the Capacity Market with Different Degradation Models

et al. 2020

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“…The batteries storage system profile has been the basis of such a study. This paragraph illustrates a similar study but, this time, the basis of the study is the profile of the state of charge (SOC) [48]. As usual in this field, such a profile is a string of numbers in the range 0-100%; the string length depends on the temporal resolution, it decreases from 175,200 to 8760 values when the temporal resolution changes from 3 to 60 min.…”

Section: Influence On the State Of Charge Of Batteriesmentioning

confidence: 85%

Influence and Impact of Data Averaging and Temporal Resolution on the Assessment of Energetic, Economic and Technical Issues of Hybrid Photovoltaic-Battery Systems

Burgio¹,

Menniti

Sorrentino

et al. 2020

Energies

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The temporal resolution of the demand and generation profiles may have a significant impact on the estimation of self-sufficiency and self-consumption for consumers and prosumers. As an example, measuring the load profile, with a low temporal resolution, may lead to the under-estimation of energy consumption, while measuring solar irradiation with a low temporal resolution may lead to the over-estimation of on-site energy generation. Storage systems may reduce errors due to the lower temporal resolution by 8–10 times or even more, depending on the capacity of the batteries. Besides self-generation and self-consumption, there are other indicators that can be influenced by temporal resolution that deserve to be investigated. This is a detailed study of the influence of temporal resolution and the time averaging on a hybrid photovoltaic-battery system; this study encompasses both economic and technical aspects, from the calculation of savings on the electricity bill to the estimation of the equivalent cycles of battery storage system. To this end, the three-minute load profile of a real case study is used to obtain other three load profiles with temporal resolution equal to 15, 30, and 60 min via data averaging. Therefore, the authors analyze the influence and the impact of temporal resolution and data averaging in terms of: The size of the photovoltaic generator and the capacity of the storage system; the savings in the electricity bill and the balance between costs and savings; the peak values and the average values of power flows during high generation and low generation; the profile of the storage system over the year; the utilization rate of the storage system and the rated power of the electronic converter that regulates the charge and the discharge; the profile of the state of charge of the storage system and the life-time estimation of batteries through the calculation of the equivalent number of cycles.

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“…At the same time, a RC circuit can be added in the Thevenin model to form the second-order RC circuit model as shown in Figure 6. 32,33 In the lithium battery circuit, R 1 and R 2 are the polarization internal resistances, and C 1 and C 2 are the polarization capacitances. U 1 and U 2 denote the voltages generated by the polarization phenomenon.…”

Section: Simulationmentioning

confidence: 99%

Sensor fault estimation based on the constrained zonotopic Kalman filter

Liu

Wang

2021

Intl J Robust & Nonlinear

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For solving the additive and multiplicative sensor faults in the constrained system with unknown but bounded noise, the constrained zonotopic Kalman filter-based additive sensor fault estimator and multiplicative sensor fault estimator are designed, respectively. In the fault estimation process, the states of the system are contained in the zonotopic sets estimated by the constrained zonotopic Kalman filter. The fault detection is carried out by judging whether the true value of the system's output is within the upper and lower bounds of its estimated zonotopic set. Once a fault is detected in the system, the corresponding sensor fault estimator can be used to estimate the additive or multiplicative sensor faults, and the corresponding zonotopic set and interval set can be obtained, respectively. Finally, comparative analyses of the proposed constrained zonotopic Kalman filter-based fault estimators and the zonotopic Kalman filter-based fault estimators in both numerical and case simulations prove the feasibility and effectiveness of the proposed algorithm and show the advantages of this algorithm in view of conservativeness.

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State of Charge Estimation for Lithium-Ion Batteries Based on Temperature-Dependent Second-Order RC Model

Cited by 48 publications

References 31 publications

Degradation Cost Analysis of Li-Ion Batteries in the Capacity Market with Different Degradation Models

Degradation Cost Analysis of Li-Ion Batteries in the Capacity Market with Different Degradation Models

Influence and Impact of Data Averaging and Temporal Resolution on the Assessment of Energetic, Economic and Technical Issues of Hybrid Photovoltaic-Battery Systems

Sensor fault estimation based on the constrained zonotopic Kalman filter

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