An Equivalent Circuit Model for Lithium Battery of Electric Vehicle considering Self-Healing Characteristic

Pei, Zhaodi; Zhao, Xin; Yuan, Honglin; Peng, Zhen; Wu, Lifeng

doi:10.1155/2018/5179758

Cited by 28 publications

(15 citation statements)

References 22 publications

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“…The equivalent model for Lithium ion battery is taken from Pei et al (2018), which is based on the characteristics of self-healing. The battery model, targeting 1 MW loads, is placed at the LV end of the grid.…”

Section: Implementation Of Storage System In Matlab/simulinkmentioning

confidence: 99%

“…The battery model, targeting 1 MW loads, is placed at the LV end of the grid. The operating point opencircuit voltage from Pei et al (2018) is 3.48 Volts, which can stand for a period of 1 h. Therefore, the Watt-hour rating for storage system would be 1 MWh. Consider that the inverter can operate with 85% efficiency; the safe Watt-hour rating for storage system would be 1.18 MWh.…”

Section: Implementation Of Storage System In Matlab/simulinkmentioning

confidence: 99%

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Distribution Level Aggregator Platform for DSO Support—Integration of Storage, Demand Response, and Renewables

2019

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Modern era is full of renewable energy resources, particularly wind and solar that are installed at both Low and Medium voltage nodes of the distribution system. With the diffusion of new resources in the distribution grid, a new challenge for the system operators is to cope up with the introduced changes in the distribution network. These changes can be on voltage levels, magnitudes and direction of current, and changes in power factor. The reduced visibility of these additives to operators require provision of ancillary services to ensure power system reliability and stability. In order to give flexibility to operator, and in particular DSO for distribution grid, the paper suggests the use of distribution level aggregators to serve as sub-DSO (JDSO). These aggregators utilize the three main components: Electrical energy storage system, customers demand response, and the renewable resources (PV and wind). These aggregators utilize a platform where all these actors can participate. DSO-JDSOs interaction is possible through the platform, and the local problems at distribution can be resolved before it goes to TSO. Paper presents and simulates the platform, develop test cases, and validate the model.

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Section: Implementation Of Storage System In Matlab/simulinkmentioning

confidence: 99%

Section: Implementation Of Storage System In Matlab/simulinkmentioning

confidence: 99%

Distribution Level Aggregator Platform for DSO Support—Integration of Storage, Demand Response, and Renewables

2019

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“…Due to a relatively simple mathematical structure and low computation burden, equivalent circuit models (ECMs) have become the most popular models utilized to describe the input/output behavior of LIBs through electrical circuits [20,21]. The commonly used ECMs are based on the RC networks with different orders.…”

Section: Review Of Soc Estimation Approachesmentioning

confidence: 99%

An All-Region State-of-Charge Estimator Based on Global Particle Swarm Optimization and Improved Extended Kalman Filter for Lithium-Ion Batteries

et al. 2018

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In this paper, a novel model parameter identification method and a state-of-charge (SOC) estimator for lithium-ion batteries (LIBs) are proposed to improve the global accuracy of SOC estimation in the all SOC range (0–100%). Firstly, a subregion optimization method based on particle swarm optimization is developed to find the optimal model parameters of LIBs in each subregion, and the optimal number of subregions is investigated from the perspective of accuracy and computation time. Then, to solve the problem of a low accuracy of SOC estimation caused by large model error in the low SOC range, an improved extended Kalman filter (IEKF) algorithm with variable noise covariance is proposed. Finally, the effectiveness of the proposed methods are verified by experiments on two kinds of batteries under three working cycles, and case studies show that the proposed IEKF has better accuracy and robustness than the traditional extended Kalman filter (EKF) in the all SOC range.

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“…In reference [41], a first-order equivalent circuit model of Thevenin based on self-healing characteristics is proposed and verified on the experimental platform. In reference [42], the parameter identification method of the second-order Thevenin model with different discharge rate is studied.…”

Section: Introductionmentioning

confidence: 99%

An Accurate Time Constant Parameter Determination Method for the Varying Condition Equivalent Circuit Model of Lithium Batteries

et al. 2020

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An accurate estimation of the state of charge for lithium battery depends on an accurate identification of the battery model parameters. In order to identify the polarization resistance and polarization capacitance in a Thevenin equivalent circuit model of lithium battery, the discharge and shelved states of a Thevenin circuit model were analyzed in this paper, together with the basic reasons for the difference in the resistance capacitance time constant and the accurate characterization of the resistance capacitance time constant in detail. The exact mathematical expression of the working characteristics of the circuit in two states were deduced thereafter. Moreover, based on the data of various working conditions, the parameters of the Thevenin circuit model through hybrid pulse power characterization experiment was identified, the simulation model was built, and a performance analysis was carried out. The experiments showed that the accuracy of the Thevenin circuit model can become 99.14% higher under dynamic test conditions and the new identification method that is based on the resistance capacitance time constant. This verifies that this method is highly accurate in the parameter identification of a lithium battery model.

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An Equivalent Circuit Model for Lithium Battery of Electric Vehicle considering Self-Healing Characteristic

Cited by 28 publications

References 22 publications

Distribution Level Aggregator Platform for DSO Support—Integration of Storage, Demand Response, and Renewables

Distribution Level Aggregator Platform for DSO Support—Integration of Storage, Demand Response, and Renewables

An All-Region State-of-Charge Estimator Based on Global Particle Swarm Optimization and Improved Extended Kalman Filter for Lithium-Ion Batteries

An Accurate Time Constant Parameter Determination Method for the Varying Condition Equivalent Circuit Model of Lithium Batteries

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