公开(公告)号：US20250164565A1

公开(公告)日：2025-05-22

申请号：US19033521

申请日：2025-01-22

Applicant: SHANDONG UNIVERSITY

Inventor： Chenghui ZHANG ,  Fazheng WEN ,  Bin DUAN ,  Rui ZHU ,  Junming ZHANG

IPC: G01R31/367 ,  B60L58/12 ,  B60L58/16 ,  G01R31/3828

Abstract: The present invention discloses a method for managing vehicle-mounted power battery based on stochastic theory, comprising: current source applies current excitation signal to power battery mounted on vehicle by control of BMS, and obtaining voltage measurement signal of the power battery; reconstructing voltage response signal that can effectively restore true voltage of the power battery by processing input and output signals of power battery; obtaining battery model parameters based on reconstructed voltage response signal and current excitation signal; estimating physical parameter values of internal state of power battery based on extended Kalman filter, unscented Kalman filter and like; charging the power battery timely, checking and maintaining the power battery, or replacing the power battery by comparing estimated physical parameter values of internal states with corresponding threshold values.

公开(公告)号：US20240072541A1

公开(公告)日：2024-02-29

申请号：US18269814

申请日：2022-11-07

Applicant: SHANDONG UNIVERSITY

Inventor： Alian CHEN ,  Tong LIU ,  Chenghui ZHANG

IPC: H02J3/24 ,  H02J3/38

CPC classification number: H02J3/241 ,  H02J3/388 ,  H02J2203/20

Abstract: A model predictive virtual synchronous generator inverter control method considering a frequency-movement direction includes: obtaining a current frequency absolute value based on fundamental frequency of an inverter and a steady-state absolute value based on the fundamental frequency of the inverter; determining a frequency-movement state by comparing the above two absolute values: in a state of deviating from the fundamental frequency or a state of regressing to the fundamental frequency; setting a corresponding prediction output horizon according to the frequency-movement state, and constructing a cost function considering the frequency-movement state; and calculating an optimal virtual power increment value based on the cost function, then calculating an optimal virtual power, inputting the optimal virtual power to a swing equation of a virtual synchronous generator, and performing frequency adjustment according to an output value.

公开(公告)号：US20200209316A1

公开(公告)日：2020-07-02

申请号：US16644329

申请日：2017-11-01

Applicant: SHANDONG UNIVERSITY

Inventor： Chenghui ZHANG ,  Zhongkai ZHOU ,  Bin DUAN ,  Yunlong SHANG ,  Yan LI ,  Naxin CUI

IPC: G01R31/367 ,  G01R31/36

Abstract: A new method for iteratively identifying parameters of an equivalent circuit model of battery, including the steps of: Firstly, dividing the model parameters into two parts, and the parameters in the first part are set to initial values, and the ones in the second part are identified with a least square method. Secondly, determining whether the obtained values of the second part meet the requirements of the equivalent circuit model of battery. If the requirements are not met, the parameters that do not meet the requirements in the second part are set to zeros. Then, the parameters in the first part are identified with the least square method. Otherwise, the ones in the first part are directly identified with the same method. Terminating the iteration process until all the parameters meet the requirements.

公开(公告)号：US20220381849A1

公开(公告)日：2022-12-01

申请号：US17765204

申请日：2020-10-23

Applicant: SHANDONG UNIVERSITY

Inventor： Chenghui ZHANG ,  Yunlong SHANG ,  Qi ZHANG ,  Bin DUAN

IPC: G01R31/396 ,  G01R31/3835

Abstract: A multi-fault diagnosis method has the following steps: measuring cell voltages of a battery pack to be diagnosed; constructing a cell voltage sequence according to measured cell voltages of the battery pack to be diagnosed, and calculating a sample entropy value of the cell voltage sequence; setting a correction coefficient for representing voltage fluctuation information, and correcting the sample entropy value through the correction coefficient to obtain a corrected sample entropy value; and judging and outputting a fault type of the battery pack to be diagnosed according to a numerical value change of the corrected sample entropy value. Faults of cells can be accurately diagnosed without a model, sample entropy values under different faults can be distinguished by setting the correction coefficient, the intuitiveness and efficiency of fault detection are improved, and the fault type and time of the lithium-ion cells can be quickly, accurately and stably diagnosed and predicted.

公开(公告)号：US20210398048A1

公开(公告)日：2021-12-23

申请号：US17351098

申请日：2021-06-17

Applicant: Shandong University

Inventor： Chenghui ZHANG ,  Che LIU ,  Bo SUN

IPC: G06Q10/06 ,  G06Q10/04 ,  G06Q50/06 ,  G06N20/00 ,  G06N7/08

Abstract: The present disclosure provides a method and system for predicting building energy consumption based on a Holt-Winters and an extreme learning machine, the method including: constructing a building simulation model based on actual operation parameters of a building to obtain an original energy consumption data set of the building; decomposing the original energy consumption data set to obtain a linear energy consumption data set and a nonlinear energy consumption data set; performing prediction on the linear energy consumption data set by using a trained Holt-Winters model to obtain a linear energy consumption prediction result; and inputting the nonlinear energy consumption data set, the original energy consumption data set, and the linear energy consumption prediction result into a trained extreme learning machine model to output a building energy consumption prediction value of the building simulation model.

公开(公告)号：US20210273551A1

公开(公告)日：2021-09-02

申请号：US17260461

申请日：2019-06-18

Applicant: SHANDONG UNIVERSITY

Inventor： Chenghui ZHANG ,  Changwei QIN ,  Xiaoyan LI ,  Xiangyang XING ,  Shunquan HU ,  Ying JIANG ,  Alian CHEN

IPC: H02M1/12 ,  H02M7/5387 ,  H02M1/44 ,  H02M7/487

Abstract: A neutral-point voltage balance control method and system for a three-level converter in a full power factor range. The method includes: using a large, medium, and zero vector modulation method to synthesize a reference voltage vector, and duty cycles of a large vector, a medium vector, and a zero vector; obtaining a voltage difference between two dc-link capacitors of signal acquisition, and the voltage difference as a neutral-point potential of the three-level converter; according to a value relationship between the neutral-point potential of the three-level converter and a specified threshold, selecting a small vector and calculating a duty cycle of the small vector; and updating a duty cycle of each basic vector, and obtaining a switching sequence for controlling a power switch of a three-phase bridge arm. An amplitude of a common-mode voltage of an NPC three-level converter is equal to one sixth of a dc-link voltage.

公开(公告)号：US20250012868A1

公开(公告)日：2025-01-09

申请号：US18763074

申请日：2024-07-03

Applicant: SHANDONG UNIVERSITY

Inventor： Chenghui ZHANG ,  Yunlong SHANG ,  Teng WANG ,  Yuhao ZHU

IPC: G01R31/392 ,  G01R31/387 ,  H01M10/54 ,  H02J7/00

Abstract: A method for standardizing a decommissioning definition of power batteries, including: obtaining power battery capacity data and SOH data; obtaining capacity degradation gradient by subtracting battery capacity of current charge-discharge cycle by battery capacity of previous charge-discharge cycle, and obtaining index of decommissioning (IoD) of power battery by dividing capacity degradation gradient by a square of SOH of current charge-discharge cycle; and when IoD is less than a set threshold, dismantling, disassembling and separating the power battery; otherwise, continuing to use the power battery. An aging state of battery is evaluated comprehensively based on two indexes—the SOH and the capacity degradation gradient, so that a new IoD of the battery is proposed. Each cell can be comprehensively evaluated according to various real-time states of battery, thereby achieving individual decommissioning, which ensures safe use of battery and increases the utilization rate of battery.

公开(公告)号：US20220294218A1

公开(公告)日：2022-09-15

申请号：US17639682

申请日：2020-09-02

Applicant: SHANDONG UNIVERSITY

Inventor： Bo SUN ,  Chenghui ZHANG ,  Deyin MA

IPC: H02J3/00

Abstract: A method and system for predicting regional short-term energy power by taking weather into consideration includes: obtaining meteorological data of all moments in a set time in the future through a network; extracting respectively, from a historical database according to the obtained meteorological data, historical weather station meteorological data, historical network API meteorological data, and historical measured power generation power data within a set time period that meet meteorological conditions corresponding to all the moments; obtaining historical total error data; obtaining real-time error meteorological data; obtaining total error meteorological data; combining the obtained meteorological data of all the moments in the set time in the future with total error meteorological data of all the moments to obtain predicted meteorological data; obtaining predicted power data according to the predicted meteorological data; and optimizing an energy generation plan of a system according to the obtained predicted power data.

公开(公告)号：US20210194424A1

公开(公告)日：2021-06-24

申请号：US17267918

申请日：2019-05-16

Applicant: SHANDONG UNIVERSITY

Inventor： Feng GAO ,  Xiangjian MENG ,  Tao XU ,  Chenghui ZHANG

IPC: H02S50/00 ,  H02S40/32 ,  H02J3/00

Abstract: The present disclosure provides a method and system for power prediction of a photovoltaic power station based on operating data of grid-connected inverters, including: constructing a photovoltaic module model according to parameters of a photovoltaic module in a photovoltaic power station; constructing a power prediction model based on an artificial neural network algorithm; acquiring output data of a photovoltaic array when being shaded by static shadows of different thicknesses and different shading areas, constructing a training set to train the power prediction model, and obtaining a trained power prediction model; and acquiring, classifying, and normalizing output powers in real-time operating data of an inverter when the photovoltaic array is under a clear sky condition, and predicting a output power of the entire photovoltaic power station by using the trained power prediction model, the power prediction including a rolling prediction of the output power of the photovoltaic power station under a clear sky condition and a minute-level power prediction of the photovoltaic power station when being shaded by a dynamic cloud cluster. The present disclosure reduces a device cost and overcomes the defect that cloud clusters of different thicknesses affect the precision of power prediction of the photovoltaic array.

公开(公告)号：US20200175212A1

公开(公告)日：2020-06-04

申请号：US16493547

申请日：2017-10-19

Applicant: SHANDONG UNIVERSITY

Inventor： Chenghui ZHANG ,  Yunlong SHANG ,  Qi ZHANG ,  Bin DUAN ,  Naxin CUI ,  Zhongkai ZHOU

IPC: G06F30/20 ,  H02J7/00 ,  G01R31/367 ,  H01M10/42

Abstract: A fractional-order KiBaM battery model considering nonlinear capacity characteristics and a parameter identification method includes a temporary capacity portion and an available capacity portion for describing nonlinear capacity characteristics of a battery, wherein the temporary capacity portion represents the power that can be directly obtained during the discharge, indicating the state of charge (SOC) of the battery; the available capacity portion represents the power that cannot be directly obtained, and such two portions are connected; when the battery is discharged, the load current i flows out from the temporary capacity portion, and a power passing rate coefficient of such capacity portions is obtained; and the nonlinear capacity effect and recovery effect of the battery are denoted by the height ratio of the temporary capacity and available capacity portions in view of the magnitude of the fractional order of battery capacity characteristics.