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Fast impedance measurement method for large capacity batteries using chirp and filtered pseudo-random binary sequence

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JOURNAL OF POWER SOURCES 2024年 624卷

作者： Yang, Kun Feng, Zhuoyu Niu, Pengcheng Song, Zhengxiang Meng, Jinhao Xi An Jiao Tong Univ Sch Elect Engn Xian 710049 Peoples R China State Key Lab Elect Insulat & Power Equipment Xian 710049 Peoples R China

Fast impedance measurement with well-constructed excitation signals is crucial for battery internal states analysis and faults diagnosis. The pseudo-random binary sequence (PRBS) is a promising time-efficient excitation signal, but it lacks power content in the low-frequency range and is susceptible to high-frequency harmonics beyond the measurement limits, especially for square large-capacity batteries. Motivated by this, this paper proposes a novel parallel-connected signal derived from filtered PRBS and chirp sequence to boost low-frequency components while mitigating high-frequency effects. Meanwhile, to enhance accuracy in measuring square largecapacity batteries with low impedance, the paper introduces a differential amplification circuit to improve voltage response robustness against noise. Experimental results confirm the effectiveness of this method, achieving precise impedance measurements across the 0.1 Hz-1000 Hz range in just 10.24 s. With different states of charges, temperatures, and battery types, errors of the measurement are below 3.67 %.

关键词： Battery Electrochemical impedance spectroscopy pseudo-random binary sequence Butterworth filter Chirp

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Li-Ion Battery and Supercapacitor Modeling for Electric Vehicles Based on Pulse - pseudo random binary sequence

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IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY 2021年第11期70卷 11378-11389页

作者： Miniguano, Henry Barrado, Andres Lazaro, Antonio Univ Carlos III Madrid Elect Technol Dept Avda Univ 30 Madrid 28911 Spain

Energy storage devices such as batteries and supercapacitors are arousing a growing interest in many areas of industrial applications since they allow improving the dynamic response and efficiency. In this sense, the availability of electric models of batteries and supercapacitors is necessary for the correct sizing, control, and energy management of power systems. In order to identify the parameters of the equivalent electric model, the identification current profile is often a pulse of charge or discharge. Subsequently, these models are validated with a current verification profile. However, the verification profile compared to the identification profile is more dynamic in amplitude and frequency, producing validation errors due to the identification signal's limited bandwidth. This paper proposes a novel Pulse - pseudo random binary sequence (Pulse - PRBS) identification current profile, with similar spectral characteristics to the verification profile, in order to improve the modeling accuracy. The parameters of a Lithium-ion battery and a supercapacitor are obtained with this new identification current profile and the Optimization Toolbox of Matlab, using the electrical models in Simulink or Simscape. Finally, the models are validated with the Urban Driving Cycle ECE-15 and the Hybrid Pulse Power Characterization (HPPC) for electric vehicle applications.

关键词： Supercapacitors Batteries Integrated circuit modeling State of charge Mathematical model Analytical models Vehicle dynamics Equivalent circuit model frequency spectrum lithium-ion battery supercapacitor parameter identification pseudo-random binary sequence

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Fast measurement of proton exchange membrane fuel cell impedance based on pseudo-random binary sequence perturbation signals and continuous wavelet transform

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JOURNAL OF POWER SOURCES 2014年第0期254卷 112-118页

作者： Debenjak, Andrej Boskoski, Pavle Musizza, Bojan Petrovcic, Janko Juricic, Dani Jozef Stefan Inst Dept Syst & Control Ljubljana 1000 Slovenia Ctr Excellence Low Carbon Technol CO NOT Ljubljana 1000 Slovenia

This paper proposes an approach to the estimation of PEM fuel cell impedance by utilizing pseudorandom binary sequence as a perturbation signal and continuous wavelet transform with Morlet mother wavelet. With the approach, the impedance characteristic in the frequency band from 0.1 Hz to 500 Hz is identified in 60 seconds, approximately five times faster compared to the conventional singlesine approach. The proposed approach was experimentally evaluated on a single PEM fuel cell of a larger fuel cell stack. The quality of the results remains at the same level compared to the single-sine approach. (C) 2013 Elsevier B.V. All rights reserved.

关键词： PEM fuel cell Impedance characteristic Electrochemical impedance spectroscopy pseudo-random binary sequence Continuous wavelet transform Morlet wavelet

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Online Impedance Measurement of Lithium-Ion Battery: Applying Broadband Injection With Specified Fourier Amplitude Spectrum

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IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS 2023年第5期59卷 6580-6588页

作者： Tran, Minh Roinila, Tomi Tampere Univ Dept Elect Engn Tampere 33100 Finland

State parameters such as the state-of-charge (SOC) and state-of-health (SOH) play important role in the operation of Li-ion batteries, and accurate estimate of the parameters is of prime importance in evaluating the battery condition and guaranteeing the safe use. While it is difficult to measure the SOC and SOH directly, the battery internal impedance can be used to obtain the parameters. Recent studies have shown methods based on pseudo-random binary sequence (PRBS) with which the battery impedance can be rapidly measured in real time. Using this method, the battery is charged and recharged according to the excitation waveform and Fourier methods are applied to obtain the impedance. The PRBS often produces accurate impedance measurements, but the method may require a high perturbation amplitude, which may easily interfere with the nominal battery operation and create nonlinear distortions. This article proposes the use of discrete-interval-binary sequence (DIBS) for measuring the battery impedance. The DIBS is a computer-optimized binary sequence in which the power spectral densities are maximized at specified frequencies without increasing the signal time-domain amplitude. Experimental measurements of a commercial Li-ion battery are presented to demonstrate the effectiveness of the proposed method.

关键词： Batteries Impedance Impedance measurement Battery charge measurement Frequency measurement Harmonic analysis Lithium-ion batteries Electrochemical impedance spectroscopy Fourier methods Li-ion batteries optimization pseudo-random binary sequence

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Excitation signals to state-space realization and linear-regression identification methods applied to a MIMO system 28

Excitation signals to state-space realization and linear-reg...

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28th International Conference on Methods and Models in Automation and Robotics (MMAR)

作者： Soares, Dirceu, Jr. Serpa, Alberto Luiz Serra Fed Inst Espirito Santo IFES Dept Ind Automat Vitoria ES Brazil FEM Univ Campinas UNICAMP Dept Computat Mech Campinas SP Brazil

ISBN: (纸本)9798350362350;9798350362343

This work presents a new approach in the comparative analysis of three excitation signals applied in a system identification process. The excitation signals employed are pseudo-random binary sequence (PRBS), Sine Sweep (CHIRP), and Gaussian White Noise (GWN). Moreover, with comparative purposes, two algorithms are used to identify a Multiple-Input-Multiple-Output (MIMO) system of 100 degrees of freedom: a State-space identification method based on the traditional Eigensystem Realization Algorithm (ERA) and the linear-regression method ARMAX. The MIMO system is submitted to five levels of additive measurement noise: 1%, 1.5%, 2%, 2.5%, and 3%. The results are statistically analysed composed by 100 simulations for each set of algorithm parameters. The simulations show that, apart from the GWN, well-known as an appropriated excitation signal for application in systems with the characteristics portrayed in the present work, the PRBS can be another feasible signal to identify the MIMO system simulated accordingly with the identification method chosen.

关键词： System identification Eigensystem Realization Algorithm ARMAX Gaussian White Noise pseudo-random binary sequence Sine Sweep MIMO system Measurement noise

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Identification of hydrodynamic coefficients of a ship manoeuvring model based on PRBS input

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OCEAN ENGINEERING 2022年 246卷 110640-110640页

作者： Zhao, Yinghan Wu, Jinbo Zeng, Chenghao Huang, Yuxian Huazhong Univ Sci & Technol Sch Naval Architecture & Ocean Engn Wuhan 430074 Peoples R China Hubei Key Lab Naval Architecture & Ocean Engn Hyd Wuhan 430074 Peoples R China

A new method is proposed to obtain accurate hydrodynamic coefficients of 3-DOF ship models. This method includes two parts: identification algorithm and identification input design. Firstly, the manoeuvring modeling group model of an underactuated ship is introduced. Secondly, the nonlinear model of the ship is converted into a linear form by using the X-swapping technique. An on-line identification law, which is introduced for identifi-cation under relaxed excitation conditions, is used to estimate the unknown hydrodynamic coefficients of the ship dynamic model. Thirdly, two pseudo-random binary sequence signals are chosen as the identification in-puts to excite the rudder and the propeller, which can improve identification performance. Finally, a simulation example is put forward to demonstrate the effectiveness of the proposed identification method.

关键词： Manoeuvring modeling group System identification Hydrodynamic coefficients Least-squares algorithm pseudo-random binary sequence

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Overfitting effect of artificial neural network based nonlinear equalizer: from mathematical origin to transmission evolution

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Science China(Information Sciences) 2020年第6期63卷 67-79页

作者： Zheng YANG Fan GAO Songnian FU Ming TANG Deming LIU Wuhan National Laboratory for Optoelectronics School of Optical and Electronic InformationHuazhong University of Science and Technology Alibaba Infrastructure Service Alibaba Group

Overfitting effect of artificial neural network(ANN) based nonlinear equalizer(NLE) leads to a trap of bit error ratio(BER) overestimation in optical fiber communication system, especially when the performance is evaluated by the commonly-used pseudo-random binary sequence(PRBS). First, we mathematically investigate the PRBS generation and Gray code mapping rules, in comparison with the use of Mersenne Twister random sequence(MTRS). Under the condition of a symbol erasure channel, we identify that ANN can recognize both the PRBS generation and symbol mapping rules, by increasing the weights of NLE at specific positions, whereas the MTRS is currently safe owing to the limited input length of current ANN based NLE. Then, we design four channel models of fiber optical transmission to experimentally examine various impairments on the evolution of overfitting effect. When both the additive white Gaussian noise(AWGN) channel and the bandwidth limited channel are considered, the mitigation of overfitting becomes possible by the use of pruned PRBS(P-PRBS) training set with removing the generation and mapping rules determined input symbols. However, as for both the chromatic dispersion(CD) uncompensated channel and the CD managed channel, the overfitting effect becomes serious, because both CD and fiber nonlinearity induced inter-symbol interference(ISI) is beneficial for ANN to identify the PRBS symbol rules. Finally,possible solutions to mitigate the overfitting effect are summarized.

关键词： artificial neural network nonlinear equalizer pseudo-random binary sequence overfitting

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A digital bandwidth interleaved structure correction method based on itemized correction

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REVIEW OF SCIENTIFIC INSTRUMENTS 2021年第11期92卷 114701-114701页

作者： Zhou, Yi Ye, Peng Zhang, Qinchuan Yang, Kuojun Jiang, Jun Huang, Wuhuang Zhao, Yu Zhang, Yijiao Univ Elect Sci & Technol China Sch Automaton Engn Chengdu Peoples R China Guiyang Univ Sch Elect & Commun Engn Guiyang Peoples R China

To satisfy the input bandwidth and sampling rate requirements of data acquisition systems, digital bandwidth-interleaved analog-to-digital converters (DBI-ADCs) offer a practical parallel structure. However, the existing DBI-ADC correction methods are broadly inadequate in terms of design, testing, and implementation. Moreover, the evaluation and correction of the most significant feature of the DBI-ADC structure-wideband acquisition performance-is also imperfect. This paper proposes an itemized correction method for DBI-ADC structures. The proposed method simplifies the complex correction filter bank design algorithm into multiple simple correction filters and then separates and corrects the various errors of the DBI-ADC system. This dramatically simplifies the design, testing, and implementation process of the system, resulting in a highly convenient method for practical engineering. In addition, this method achieves a good correction effect, with an appropriate balance between the correction effect and the project implementation. Simulation results and experimental results verify the effectiveness of the proposed method. Published under an exclusive license by AIP Publishing.

关键词： Topics pseudo-random binary sequence Analog-to-digital converter Signal conditioning Linear filters Data acquisition Signal processing Corrections Mathematical modeling Oscilloscopes Oscillators

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Design of a Wireless Charging System for Online Battery Spectroscopy

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ENERGIES 2021年第1期14卷 218-218页

作者： Locorotondo, Edoardo Corti, Fabio Pugi, Luca Berzi, Lorenzo Reatti, Alberto Lutzemberger, Giovanni Univ Florence Dept Ind Engn I-50139 Florence Italy Univ Florence Dept Informat Engn I-50139 Florence Italy Univ Pisa Dept Energy Syst Terr & Construct Engn I-56122 Pisa Italy

This paper presents the design procedure of an electric circuit that can perform the battery state diagnosis and, simultaneously, provide its charging. A fast and embedded impedance measurement method is also proposed;this is based on a broadband current signal excitation on the battery during the constant current charging phase. The proposed solution performs the electrochemical impedance spectroscopy (EIS), which is known to provide useful information about battery chemical-physical property changes due to aging or failure events. To demonstrate the functionalities of the proposed method, the spectroscopy is implemented in the control in the wireless charging system. An EIS charging test is simulated on an equivalent circuit model, which emulates the battery impedance properties in a specified frequency band. Circuit parameters are evaluated by experimental data. According to the obtained results, the proposed method allows us to reach an accurate estimation of the battery state and represents a promising solution for an embedded diagnostic of battery health thanks to its simplicity and speed.

关键词： wireless power transfer battery electrochemical impedance spectroscopy pseudo-random binary sequence CLC filter state of health

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Analysis and Simulation of Multipath Separation Based on Improved Penalty Function Method in Time-of-Flight Cameras 6

Analysis and Simulation of Multipath Separation Based on Imp...

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6th Symposium on Novel Optoelectronic Detection Technology and Applications

作者： Jin, Xiangliang Jiang, Bin Pan, Lehao Hunan Normal Univ Coll Phys & Elect Sci Changsha 410081 Peoples R China

ISBN: (纸本)9781510637054

Time-of-flight cameras use the flight time of light to obtain accurate depth information, but its accuracy is affected by multipath interference. In the penalty function method adopted in this study, the best initial iteration point is obtained by cross-correlation of a pseudo-random binary sequence and its displacement sequence, and a continuous and non-segmented exponential penalty (obstacle) function is constructed, which can be used for sparse decomposition of high-dimensional vectors. These two improvements make the penalty function method applicable to sparse decomposition in the multipath separation process. Moreover, under the same measurement times and operation speeds, the improved penalty function method is nearly twice as accurate as the orthogonal matching pursuit algorithm in multipath separation.

关键词： time-of-flight multipath separation sparse decomposition penalty function method pseudo-random binary sequence

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