An improved second-order electrical equivalent modeling method for the online high power Li-ion battery state of charge estimation

Deng, Dan; Liu, Shengyong; Wang, Shunli; Xia, Lili; Chen, Lei

doi:10.1109/ecce-asia49820.2021.9479017

Cited by 5 publications

(8 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A mathematical model of the battery cell in the form of a Thevenin equivalent circuit [21,37,38,46,[65][66][67] was used (Figure 3). The circuit contains two RC pairs, thus simulating two time constants of the dynamic model [65,66,68,69]: Thevenin models are usually used with one to five RC pairs and their corresponding time constants.…”

Section: Battery Cell Equivalent Circuitmentioning

confidence: 99%

“…The basic idea of an HPPC test is to analyze the cell voltage response to a rectangular current pulse. This response is a multi-exponential waveform, the time constants of which should be determined in the identification process [17,44,46,48,69]:…”

Section: Hppc Testsmentioning

confidence: 99%

“…The application of cycle-based tests is a typical strategy for battery cell mathematical model verification. Other popular cyclebased tests are the dynamic stress test (DST) [46,51,65,68], ARTEMIS [57,77], and others [17,28,54,66,69,75,78,79]. The applied CDC cycle consists of a set of discharge pulses of different value (acceleration and driving at a constant speed) as well as charging ones (regenerative braking).…”

Section: Model Verificationmentioning

confidence: 99%

“…In general, it is difficult to estimate battery parameters quickly and accurately from input-output cycling data [23,24,39]; therefore, special identification tests must be used. The pulse charge or discharge test [14,[40][41][42] or hybrid pulse power characterization (HPPC) tests [43][44][45][46][47], combined with charge and discharge characteristics [44,48,49], are the most commonly used. These tests (performed once) can reflect the properties of the cell for the current state of health (SOH), so they cannot identify the effects of cell aging [21] or changes in its parameters during long-term operation.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

HPPC Test Methodology Using LFP Battery Cell Identification Tests as an Example

Białoń,

Niestrój,

Skarka

et al. 2023

Energies

View full text Add to dashboard Cite

The aim of this research was to create an accurate simulation model of a lithium-ion battery cell, which will be used in the design process of the traction battery of a fully electric load-hull-dump vehicle. Discharge characteristics tests were used to estimate the actual cell capacity, and hybrid pulse power characterization (HPPC) tests were used to identify the Thevenin equivalent circuit parameters. A detailed description is provided of the methods used to develop the HPPC test results. Particular emphasis was placed on the applied filtration and optimization techniques as well as the assessment of the quality and the applicability of the acquired measurement data. As a result, a simulation model of the battery cell was created. The article gives the full set of parameter values needed to build a fully functional simulation model. Finally, a charge-depleting cycle test was performed to verify the created simulation model.

show abstract

Section: Battery Cell Equivalent Circuitmentioning

confidence: 99%

Section: Hppc Testsmentioning

confidence: 99%

Section: Model Verificationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

HPPC Test Methodology Using LFP Battery Cell Identification Tests as an Example

Białoń,

Niestrój,

Skarka

et al. 2023

Energies

View full text Add to dashboard Cite

show abstract

“…Moreover, a deep knowledge of the processes behind battery cell operation and its chemistry is required in order to construct a model that best fits the cell. The most common model-based approach, which guarantees higher accuracy and lower complexity, is the Equivalent Circuit Model (ECM) [12,13] where the battery cell is described as an electrical circuit with resistors and capacitors. In some implementations, SoC evaluation combines ECM and different methods, such as Kalman Filters (KF) or Proportional-Integral (PI) Observer [14], to improve accuracy despite the increase in computational demand [11].…”

Section: Introductionmentioning

confidence: 99%

FPGA Implementation of an Ant Colony Optimization Based SVM Algorithm for State of Charge Estimation in Li-Ion Batteries

Stighezza¹,

Bianchi²,

Munari³

2021

Energies

View full text Add to dashboard Cite

Monitoring the State of Charge (SoC) in battery cells is necessary to avoid damage and to extend battery life. Support Vector Machine (SVM) algorithms and Machine Learning techniques in general can provide real-time SoC estimation without the need to design a cell model. In this work, an SVM was trained by applying an Ant Colony Optimization method. The obtained trained model was 10-fold cross-validated and then designed in Hardware Description Language to be run on FPGA devices, enabling the design of low-cost and compact hardware. Thanks to the choice of a linear SVM kernel, the implemented architecture resulted in low resource usage (about 1.4% of Xilinx Artix7 XC7A100TFPGAG324C FPGA), allowing multiple instances of the SVM SoC estimator model to monitor multiple battery cells or modules, if needed. The ability of the model to maintain its good performance was further verified when applied to a dataset acquired from different driving cycles to the cycle used in the training phase, achieving a Root Mean Square Error of about 1.4%.

show abstract

An Online OCV Calibration-Based Adaptive SOC Estimation Approach for Lithium Battery

He,

Wan,

et al. 2023

2023 8th International Conference on Power and Renewable Energy (ICPRE)

View full text Add to dashboard Cite

An improved second-order electrical equivalent modeling method for the online high power Li-ion battery state of charge estimation

Cited by 5 publications

References 13 publications

HPPC Test Methodology Using LFP Battery Cell Identification Tests as an Example

HPPC Test Methodology Using LFP Battery Cell Identification Tests as an Example

FPGA Implementation of an Ant Colony Optimization Based SVM Algorithm for State of Charge Estimation in Li-Ion Batteries

An Online OCV Calibration-Based Adaptive SOC Estimation Approach for Lithium Battery

Contact Info

Product

Resources

About