检索结果-内蒙古大学图书馆

estimation algorithm for Vehicle Motion Parameters Based on Innovation Covariance in AC Chassis Dynamometer

WORLD ELECTRIC VEHICLE JOURNAL 2025年第4期16卷 239-239页

作者： Zhang, Xiaorui Xu, Xingyuan Shi, Hengliang Luoyang Polytech Sch Automobile & Rail Transit Luoyang 471000 Peoples R China

When the alternating current (AC) chassis dynamometer system measures the motion parameters of a test vehicle, it is subject to interference from measurement noise, leading to an increase in testing errors. An innovative adaptive Kalman Filtering (KF) algorithm based on innovation covariance is proposed. This algorithm facilitates the optimal estimation of vehicle motion parameters without necessitating prior error statistics. The loading model of the measurement and control system is optimized, enabling the precise loading of the dynamometer. The test results indicate that the testing error of the optimized algorithm for the loading model decreases from 6.4% to 1.8%. This improvement establishes a foundation for achieving accurate control of the chassis dynamometer and minimizing testing errors.

关键词： vehicle chassis dynamometer estimation algorithm motion parameters adaptive Kalman filtering innovation covariance

来源：评论

学校读者我要写书评

暂无评论

An accurate estimation algorithm for structural change points of multi-dimensional stochastic models

引用

JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 2023年第3期44卷 4817-4829页

作者： Li, Junxia Henan Vocat Coll Agr Coll Informat Engn Zhengzhou Peoples R China

In order to improve the estimation accuracy of structural change points of multi-dimensional stochastic model, the accurate estimation algorithm of structural change points of multi-dimensional stochastic model is studied. A multidimensional stochastic Graphical Modeling model based on multivariate normal hypothesis is constructed, and the relationship between the Graphical Gaussian model and the linear regression model is determined. The parameters of the multi-dimensional stochastic model are estimated by using the parameter estimation algorithm of the multi-dimensional stochastic model containing intermediate variables. According to the parameter estimation results of the multi-dimensional stochastic model, the structural change point estimation results of the multi-dimensional stochastic model are obtained by using the accurate estimation algorithm of the structural change point based on the MLE identification local drift time. The experimental results show that the proposed algorithm has higher estimation accuracy of structural change points than the control algorithms, which shows that it can effectively estimate the structural change points of multi-dimensional random models and has higher practicability.

关键词： Multidimensional stochastic model structure change point accurate estimation algorithm

来源：评论

学校读者我要写书评

暂无评论

estimation algorithm for Current and Temperature of Field Winding in Electrically Excited Synchronous Machines With High-Frequency Brushless Exciters

引用

IEEE TRANSACTIONS ON POWER ELECTRONICS 2021年第3期36卷 3512-3523页

作者： Tang, Junfei Liu, Yujing Lundberg, Stefan Chalmers Univ Technol Dept Elect Engn S-41296 Gothenburg Sweden

Electrically excited synchronous machines have become one of the potential alternatives to permanent magnet synchronous machines in electric vehicles to avoid rare-earth materials. Utilizing high-frequency brushless exciters for rotor excitation is a promising choice to reduce friction losses and maintenance effort and cost. However, with the usage of brushless exciters, the field current and temperature cannot be measured directly. In this article, an algorithm is proposed to dynamically estimate the field current as well as the field winding temperature. The dc-link current is utilized as a feedback to correct the estimation. The performance of the estimation algorithm is initially evaluated in simulations and then verified by experimental measurements in a prototype. Based on the estimation algorithm, closed-loop control of the field current is developed and verified experimentally.

关键词： Electric vehicles (EVs) electrically excited synchronous machines (EESMs) estimation algorithm field excitation wound field synchronous machines

来源：评论

学校读者我要写书评

暂无评论

Creating a Robust SoC estimation algorithm Based on LSTM Units and Trained with Synthetic Data

引用

WORLD ELECTRIC VEHICLE JOURNAL 2023年第7期14卷 197页

作者： Azkue, Markel Miguel, Eduardo Martinez-Laserna, Egoitz Oca, Laura Iraola, Unai Ikerlan Technol Res Ctr Elect Energy Storage Basque Res & Technol Alliance BRTA Arrasate Mondragon 20500 Spain Mondragon Unibertsitatea Fac Engn Elect & Comp Dept Arrasate Mondragon 20500 Spain

Creating SoC algorithms for Li-ion batteries based on neural networks requires a large amount of training data, since it is necessary to test the batteries under different conditions so that the algorithm learns the relationship between the different inputs and the output. Obtaining such data through laboratory tests is costly and time consuming;therefore, in this article, a neural network has been trained with data generated synthetically using electrochemical models. These models allow us to obtain relevant data related to different conditions at a minimum cost over a short period of time. By means of the different training rounds carried out using these data, it has been studied how the different hyperparameters affect the behaviour of the algorithm, creating a robust and accurate algorithm. To adapt this approach to new battery references or chemistries, transfer learning techniques can be employed.

关键词： computer intelligence Li-ion battery estimation algorithm state of charge synthetic data

来源：评论

学校读者我要写书评

暂无评论

Research on optimized SOC estimation algorithm based on extended kalman filter

引用

FRONTIERS IN ENERGY RESEARCH 2022年 10卷

作者： Yang, Bo Li, Guanjun Tang, Wencheng Li, Haoyuan Southeast Univ Sch Mech Engn Nanjing Peoples R China China Elect Power Res Inst Co Ltd Nanjing Peoples R China Southeast Univ Sch Automat Nanjing Peoples R China

The paper studies the estimation of state of charge (SOC) of batteries. Firstly, the research status of battery management system, battery equivalent model and SOC estimation algorithm is introduced, and the performance of common equivalent circuit model and SOC estimation algorithm in complexity and accuracy is compared and analyzed. On this basis, this paper proposes an extended Kalman filter (EKF) algorithm based on the first-order RC model, and optimizes it by piecewise fitting. The accuracy of the optimized EKF algorithm is greatly improved. Finally, the modeling and simulation are completed through MATLAB/SIMULINK, and the experimental platform is designed and built to test the SOC estimation algorithm based on EKF. The simulation and experimental results verify the accuracy of the estimation algorithm.

关键词： state of charge estimation algorithm extended kalman filter nomenclature simulink (RRID:SCR_014744) matlab (RRID:SCR_001622) kalman filter

来源：评论

学校读者我要写书评

暂无评论

The Open-Circuit Voltage Characteristic and State of Charge estimation for Lithium-Ion Batteries Based on an Improved estimation algorithm

引用

JOURNAL OF TESTING AND EVALUATION 2020年第2期48卷 1712-1730页

作者： Li, Ling-Ling Liu, Zhi-Feng Wang, Ching-Hsin Hebei Univ Technol Sch Elect Engn State Key Lab Reliabil & Intelligence Elect Equip 8 Guang Rong Rd Tianjin 300130 Peoples R China Natl Chin Yi Univ Technol Inst Project Management Dept Leisure Ind Management 57Sec 2Chung Shan Rd Taichung 41170 Taiwan

The State of Charge (SoC)-Open Circuit Voltage (OCV) curve and the quality of estimation algorithm are two important factors that infect the accuracy of SoC estimation for lithium-ion batteries in electric vehicles. The purpose of this study is to improve the accuracy of SoC estimation for the lithium-ion battery. The battery management system is established to monitor the state of lithium-ion batteries to ensure the safety and reliability of the battery system. Firstly, the specific experiments were designed to analyze the relationship between the SoC-OCV curve and experimental conditions (e.g., ambient temperature and current rate) and battery states (e.g., State of Health and positive materials). A series of conclusions was found and used to correct the process of SoC estimation. Secondly, by analyzing the reasons that the SoC estimation error increased in the low-capacity period and the late-stage of estimation using the extended Kalman filter (EKF), an improved estimation algorithm was proposed. In the improved estimation algorithm, the ampere-hour counting was used in the low-capacity period, and the EKF was used in the rest. The accuracy of the improved estimation algorithm was verified by two experiments. Verification results show that the improved estimation algorithm makes up for the drawback of the EKF, the estimation error in constant current discharge experiment is less than 2 %, and the estimated error under dynamic conditions is less than 3 %. Therefore, the improved estimation algorithm has a higher accuracy than the EKF for the SoC estimation and can meet the operation requirements of a lithium-ion battery. This study contributes to the improvement of the safety and reliability of battery systems in electric vehicles by improving the accuracy of SoC estimation for lithium-ion batteries.

关键词： lithium-ion battery state of charge estimation state of charge-open circuit voltage curve estimation algorithm

来源：评论

学校读者我要写书评

暂无评论

Adaptive estimation algorithm for Correcting Low-Cost MEMS-SINS Errors of Unmanned Vehicles under the Conditions of Abnormal Measurements

引用

SENSORS 2021年第2期21卷 623-623页

作者： Zhang, Lifei Viktorovich, Proletarsky Andrey Selezneva, Maria Sergeevna Neusypin, Konstantin Avenirovich Bauman Moscow State Tech Univ Dept Informat & Control Syst Moscow 101000 Russia

In this paper, a low-cost small-sized strap-down inertial navigation system (SINS)-Gyrolab GL-VG 109-is studied. When the system is installed on an unmanned vehicle and works in autonomous mode, it is difficult to determine the navigation parameters of the unmanned vehicle. Correcting the SINS information from the Global Navigation Satellite System (GNSS) can significantly increase the determination accuracy of the navigation parameters. However, this is only available when the GNSS signals are stable. A new adaptive estimation algorithm that can automatically detect, evaluate, and process the abnormal measurements is proposed in the present work. The determination of the navigation parameters can reach the third accuracy class using the proposed method. The effectiveness of the algorithm is verified by the mathematical simulation and the experimental tests (with a real SINS GL-VG 109), which are conducted in urban environments with a GNSS signal containing 15% and 40% abnormal measurements. The results show that the proposed method can significantly reduce the impact of abnormal measurements and improve the estimation accuracy.

关键词： strap-down inertial navigation system unmanned vehicle estimation algorithm criterion for detecting abnormal measurements accuracy analysis

来源：评论

学校读者我要写书评

暂无评论

Research on the estimation algorithm of Wheel Cylinder Pressure for Regenerative Braking System of Plug-in Hybrid Vehicle

Research on the Estimation Algorithm of Wheel Cylinder Press...

引用

2020 Asia Energy and Electrical Engineering Symposium

作者： Wang, Wei Wu, Di Ma, Wentao Guo, Chong Qu, Fufan China Automot Technol & Res Ctr Co Ltd Tianjin Peoples R China Jilin Univ Coll Automot Engn Changchun Peoples R China

ISBN: (纸本)9781728167824

Nowadays, regenerative braking system (RBS) is widely used in the electric vehicles. When the pressure sensor could not provide the accurate information to the control system, the RBS would be in failure state. So the redundancy estimation algorithm related to wheel cylinder pressure is necessary. In this paper, an estimation algorithm of wheel cylinder pressure based on the pulse signal from wheel speed sensor is proposed, there are two points proposed to achieve the wheel cylinder pressure estimation. One is the estimation of the vehicle speed according to the pulse signal of wheel speed sensor, where the estimation algorithm is improved to solve the problem that vehicle speed estimated by ABS is not that accurate at low speed. The other one is the estimation of the wheel cylinder pressure in the situation that ABS is not triggered, where it is based on the condition of braking force distribution, the equation of kinetics and the deceleration characters of traditional braking system. At last, the estimation algorithm of wheel cylinder pressure has been verified by road tests in sliding process in the target pure electric vehicle. The result shows the vehicle speed estimated is more accurate than before, particularly the stage of low speed, And also the front and rear wheel cylinder pressure estimated is in accordance with the observed value.

关键词： wheel cylinder pressure estimation algorithm estimation of wheel speed wheel speed sensor regenerative braking System

来源：评论

学校读者我要写书评

暂无评论

A Two-step TOA estimation algorithm Based on TR Technology in Complex Environment 3

A Two-step TOA Estimation Algorithm Based on TR Technology i...

引用

IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)

作者： Mei, Yuxi Zhu, Zhenhai Hainan Univ Sch Informat Sci & Technol Haikou 570228 Hainan Peoples R China

ISBN: (纸本)9781538662434

In a complex environment, because of the multipath effect, the ultra-wideband (UWB) signal will arrive at the receiving end by multiple propagation paths rather than a propagation path, and the multipath effect will bring the error to the accurate estimation of TOA. To accurately estimate the TOA value is actually to find the arrival time estimation of the direct path (DP). In this paper, a two-step TOA estimation algorithm based on time reversal (TR) is proposed in the complex environment. Compared with the traditional algorithm, the time reversal technique is no longer a method of restraining multipath effect in complex environment, but making full use of each multipath component so that it can significantly compress the multipath delay spread. The experimental results show that the two-step estimation algorithm based on time reversal can effectively reduce the impact of multipath delay on TOA estimation under complex environment and greatly reduce the amount of data operations, thus improving the TOA estimation accuracy in complex environment.

关键词： Time Reversal Complex Environment estimation algorithm

来源：评论

学校读者我要写书评

暂无评论

A novel estimation algorithm for torpedo tracking in undersea environment

引用

Journal of Central South University 2019年第3期26卷 673-683页

作者： D.V.A.N.RAVI KUMAR S.KOTESWARA RAO K.PADMA RAJU Department of ECE GVPCEW Department of ECE KLEF Department of ECE JNT University

A novel estimation algorithm is introduced to handle the popular undersea problem called torpedo tracking with angle-only measurements with a better approach compared to the existing filters. The new algorithm produces a better estimate from the outputs produced by the traditional nonlinear approaches with the assistance of simple noise minimizers like maximum likelihood filter or any other algorithm which belongs to their family. The introduced method is extended to the higher version in two ways. The first approach extracts a better estimate and covariance by enhancing the count of the intermediate filters, while the second approach accepts more inputs so as to attain improved performance without enhancement of the intermediate filter count. The ideal choice of the placement of towed array sensors to improve the performance of the proposed method further is suggested as the one where the line of sight and the towed array are perpendicular. The results could get even better by moving the ownship in the direction of reducing range. All the results are verified in the MATLAB environment.

关键词： estimation algorithm torpedo tracking angle-only measurements line of sight maximum likelihood filter

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：