Online Estimation of State of Charge in Li-Ion Batteries Using Impulse Response Concept

Ranjbar, A.H.; Banaei, A.; Khoobroo, A.; Fahimi, Babak

doi:10.1109/tsg.2011.2169818

Cited by 103 publications

(66 citation statements)

References 22 publications

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“…The concept of impulse response technique has been introduced in the electrochemical battery and electric motor applications [8]- [11]. The authors of [8]- [9] estimated the State-of-Charge (SOC) of the battery by measuring the terminal voltage of the battery induced by an impulse current.…”

Section: Introductionmentioning

confidence: 99%

“…The authors of [8]- [9] estimated the State-of-Charge (SOC) of the battery by measuring the terminal voltage of the battery induced by an impulse current. Various impulse responses at different SOC levels are captured and stored in dedicated look-up tables.…”

Section: Introductionmentioning

confidence: 99%

“…For the state of charge estimation of a Lithium-ion cell, the relationship between these two parameters has been investigated in [8] and the following inequality has been inferred in order to obtain satisfactory results: / 18…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Surface temperature estimation of li-ion battery via thermal impulse response technique

Xiao

Torregrossa

Paolone

2015

2015 IEEE Applied Power Electronics Conference and Exposition (APEC)

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Abstract-This paper focuses on the prediction of temperature profiles on the surface of Lithium-ion cells. In particular, the paper proposes the adoption of the impulse response technique to predict cell surface temperatures consequent to generic discharge conditions applied to the targeted cell. The method is fed by data obtained by dedicated experiments to be performed on the targeted cell. In order to feed the proposed method, these experiments aim at obtaining cell surface temperature profiles consequent to short-time current discharge impulses. A set of dedicated validations is finally included in the paper in order to verify the validity of the proposed method.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Surface temperature estimation of li-ion battery via thermal impulse response technique

Xiao

Torregrossa

Paolone

2015

2015 IEEE Applied Power Electronics Conference and Exposition (APEC)

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“…After the dynamic parameters of the battery model are determined, the next step is to verify the accuracy of the model using Hybrid Pulse Power Characterization (HPPC) [16]. Here, the initial SOC is set to 0.5, and the input current waveform is shown in Figure 6 with a pulse current size of 1 C (2.6 A).…”

Section: Model Verificationmentioning

confidence: 99%

Joint Estimation of the Electric Vehicle Power Battery State of Charge Based on the Least Squares Method and the Kalman Filter Algorithm

et al. 2016

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An estimation of the power battery state of charge (SOC) is related to the energy management, the battery cycle life and the use cost of electric vehicles. When a lithium-ion power battery is used in an electric vehicle, the SOC displays a very strong time-dependent nonlinearity under the influence of random factors, such as the working conditions and the environment. Hence, research on estimating the SOC of a power battery for an electric vehicle is of great theoretical significance and application value. In this paper, according to the dynamic response of the power battery terminal voltage during a discharging process, the second-order RC circuit is first used as the equivalent model of the power battery. Subsequently, on the basis of this model, the least squares method (LS) with a forgetting factor and the adaptive unscented Kalman filter (AUKF) algorithm are used jointly in the estimation of the power battery SOC. Simulation experiments show that the joint estimation algorithm proposed in this paper has higher precision and convergence of the initial value error than a single AUKF algorithm.

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“…(1)(2)(3) Microgrid systems that rely on diesel generators combined with renewable energy generation systems and the main electrical grid to provide electricity are very common. (4)(5)(6)(7)(8)(9)(10) The key technologies required to use a diesel generator in a microgrid are synchronous operation and load sharing. (11)(12)(13)(14)(15)(16) Therefore, back-up power is a necessity for heavily powerreliant facilities such as hospitals, office buildings, and hi-tech factories.…”

Section: Introductionmentioning

confidence: 99%

Research on the Prediction of the State-of-health of Starting Batteries of Diesel Engines

Lin

Chen²

2018

Sensors and Materials

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A study of state-of-health (SOH) prediction for diesel engine generator starting batteries is presented, the main purpose of which is to analyze the battery's state using the relationship between AC impedance and voltage. A sensing system capable of detecting battery open-circuit voltage and discharge current has been designed. The respective AC impedances at 100 and 50% battery SOH were obtained from a monitoring system, and linear regression was used to predict battery SOH. A new GS GTX7A-12B lead acid battery was used in the experiments and the results showed that there was a 11.265% difference between the actual battery SOH and that predicted by linear regression.

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Online Estimation of State of Charge in Li-Ion Batteries Using Impulse Response Concept

Cited by 103 publications

References 22 publications

Surface temperature estimation of li-ion battery via thermal impulse response technique

Surface temperature estimation of li-ion battery via thermal impulse response technique

Joint Estimation of the Electric Vehicle Power Battery State of Charge Based on the Least Squares Method and the Kalman Filter Algorithm

Research on the Prediction of the State-of-health of Starting Batteries of Diesel Engines

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