Pub Date : 2021-08-01DOI: 10.1109/ICIEA51954.2021.9516058
Jingmeng Liu, Xiaofeng Guo, Zhong Liu, Yukun Wang
This paper introduces the structural design of a novel spherical motion generator. The electromagnetic drive mode of a spherical motor is applied to the three-degree-of-freedom (3-DOF) spherical parallel manipulator, in order to solve the problem of motion error caused by the transmission device and motor following in the traditional spherical parallel manipulator. A brief explanation of the electromagnetic drive working principle is mentioned. And the modeling of magnetic field and the optimization of magnetic field distribution are also discussed. In the future work, we will also optimize the magnetic field distribution of the platform and study the high-precision control strategy.
{"title":"Structural Design of A Novel Electromagnetic Driven Spherical Motion Generator","authors":"Jingmeng Liu, Xiaofeng Guo, Zhong Liu, Yukun Wang","doi":"10.1109/ICIEA51954.2021.9516058","DOIUrl":"https://doi.org/10.1109/ICIEA51954.2021.9516058","url":null,"abstract":"This paper introduces the structural design of a novel spherical motion generator. The electromagnetic drive mode of a spherical motor is applied to the three-degree-of-freedom (3-DOF) spherical parallel manipulator, in order to solve the problem of motion error caused by the transmission device and motor following in the traditional spherical parallel manipulator. A brief explanation of the electromagnetic drive working principle is mentioned. And the modeling of magnetic field and the optimization of magnetic field distribution are also discussed. In the future work, we will also optimize the magnetic field distribution of the platform and study the high-precision control strategy.","PeriodicalId":6809,"journal":{"name":"2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA)","volume":"11 1","pages":"24-29"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84258296","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Small-scale renewable energy sources (RESs) have transformed from traditional energy consumers into energy prosumers. However, the problem of grid-connected power fluctuation deteriorated by rooftop photovoltaic has always been the main obstacle restricting the widespread application of distributed energy resources in demand-side users. In this paper, a rolling optimal dispatch strategy of energy prosumer, which considers the grid-connected power fluctuation suppression and the energy storage degradation cost, is developed to achieve economic and stable operation. The complementary characteristics of hybrid energy storage (HES) can not only play role in economic dispatch, but also smooth grid-connected power fluctuation. We build a mathematical model of the PV-HES-load system for the prosumer. Furthermore, the real-time power fluctuation suppression method with the trigger mechanism and based on the uncertainty interval is originally designed. Finally, to ensure the economic and stable operation of the system, a rolling optimal dispatch strategy is proposed. Numerical results show that the designed dispatch strategy for the prosumer can effectively mitigate the grid-connected power fluctuation and reduce total operation cost.
{"title":"Rolling Optimal Dispatch Strategy of Prosumer Considering Grid-Connected Power Fluctuation Suppression and Energy Storage Degradation Cost","authors":"Shenglin Li, Jizhong Zhu, Hanjiang Dong, Junwei Fan, Haohao Zhu","doi":"10.1109/ICIEA51954.2021.9516443","DOIUrl":"https://doi.org/10.1109/ICIEA51954.2021.9516443","url":null,"abstract":"Small-scale renewable energy sources (RESs) have transformed from traditional energy consumers into energy prosumers. However, the problem of grid-connected power fluctuation deteriorated by rooftop photovoltaic has always been the main obstacle restricting the widespread application of distributed energy resources in demand-side users. In this paper, a rolling optimal dispatch strategy of energy prosumer, which considers the grid-connected power fluctuation suppression and the energy storage degradation cost, is developed to achieve economic and stable operation. The complementary characteristics of hybrid energy storage (HES) can not only play role in economic dispatch, but also smooth grid-connected power fluctuation. We build a mathematical model of the PV-HES-load system for the prosumer. Furthermore, the real-time power fluctuation suppression method with the trigger mechanism and based on the uncertainty interval is originally designed. Finally, to ensure the economic and stable operation of the system, a rolling optimal dispatch strategy is proposed. Numerical results show that the designed dispatch strategy for the prosumer can effectively mitigate the grid-connected power fluctuation and reduce total operation cost.","PeriodicalId":6809,"journal":{"name":"2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA)","volume":"64 1","pages":"305-310"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84408948","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-08-01DOI: 10.1109/ICIEA51954.2021.9516406
X. Zhong, Chen Chen, Lin Zeng, Ruochen Zhang, Yuru Tang, Yungui Nie, Min Liu
In this paper, we investigate the performance of generalized optical multiple-input multiple-output (MIMO) systems using a deep learning-enabled joint detection scheme. In the generalized optical MIMO system applying both generalized spatial modulation (GSM) and generalized spatial multiplexing (GSMP), a fully connected deep neural network (DNN) is employed for the joint detection of spatial and constellation information. To efficiently train the DDN detector, the received signal after zero-forcing (ZF) equalization is taken as the input while the corresponding transmitted binary bits are used as the output. Our simulation shows that, in a 4 × 4 generalized optical MIMO system with two activated light-emitting diode (LED) transmitters, the ZF-DNN detector can achieve comparable bit error rate (BER) performance as the high-complexity joint maximum-likelihood (ML) detector in the high signal-to-noise ratio (SNR) region for both GSM and GSMP. Moreover, the ZF-DNN detector achieves substantially improved BER performance than the conventional ZF-based maximum-likelihood (ML) detector. Due to the ability to eliminate error propagation, the performance gain of GSMP over GSM is greatly improved by using the ZF-DNN detector in comparison to the ZF-ML detector.
{"title":"Joint Detection for Generalized Optical MIMO: A Deep Learning Approach","authors":"X. Zhong, Chen Chen, Lin Zeng, Ruochen Zhang, Yuru Tang, Yungui Nie, Min Liu","doi":"10.1109/ICIEA51954.2021.9516406","DOIUrl":"https://doi.org/10.1109/ICIEA51954.2021.9516406","url":null,"abstract":"In this paper, we investigate the performance of generalized optical multiple-input multiple-output (MIMO) systems using a deep learning-enabled joint detection scheme. In the generalized optical MIMO system applying both generalized spatial modulation (GSM) and generalized spatial multiplexing (GSMP), a fully connected deep neural network (DNN) is employed for the joint detection of spatial and constellation information. To efficiently train the DDN detector, the received signal after zero-forcing (ZF) equalization is taken as the input while the corresponding transmitted binary bits are used as the output. Our simulation shows that, in a 4 × 4 generalized optical MIMO system with two activated light-emitting diode (LED) transmitters, the ZF-DNN detector can achieve comparable bit error rate (BER) performance as the high-complexity joint maximum-likelihood (ML) detector in the high signal-to-noise ratio (SNR) region for both GSM and GSMP. Moreover, the ZF-DNN detector achieves substantially improved BER performance than the conventional ZF-based maximum-likelihood (ML) detector. Due to the ability to eliminate error propagation, the performance gain of GSMP over GSM is greatly improved by using the ZF-DNN detector in comparison to the ZF-ML detector.","PeriodicalId":6809,"journal":{"name":"2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA)","volume":"42 1","pages":"1317-1321"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85464042","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-08-01DOI: 10.1109/ICIEA51954.2021.9516097
Shengwei Zhang, M. Shen, Xiangjun Xu, Di Wu, Daiyin Zhu
Due to its rapid learning capacity and well generalization performance, the Extreme Learning Machine (ELM) is creatively introduced into wind turbine clutter (WTC) mitigation for weather radar. Aiming at the difficulty of setting the number of hidden layer nodes in ELM algorithm, an improved algorithm‐‐Incremental Extreme Learning Machine (I-ELM) is proposed. First, the training samples are constructed by using the radial velocity and spectral width of the weather signal from the neighboring range bins. Then through the training of samples, the model parameters are searched and optimized according to the least square criterion. Finally, the optimized I-ELM model is utilized to recover the weather signal of the contaminated range bin. Theoretical analysis and simulation results show that the proposed algorithm can effectively suppress WTC and significantly reduce the deviation of radial velocity estimation and spectral width estimation caused by WTC contamination.
{"title":"Improved Extreme Learning Machine Method for Wind Turbine Clutter Mitigation","authors":"Shengwei Zhang, M. Shen, Xiangjun Xu, Di Wu, Daiyin Zhu","doi":"10.1109/ICIEA51954.2021.9516097","DOIUrl":"https://doi.org/10.1109/ICIEA51954.2021.9516097","url":null,"abstract":"Due to its rapid learning capacity and well generalization performance, the Extreme Learning Machine (ELM) is creatively introduced into wind turbine clutter (WTC) mitigation for weather radar. Aiming at the difficulty of setting the number of hidden layer nodes in ELM algorithm, an improved algorithm‐‐Incremental Extreme Learning Machine (I-ELM) is proposed. First, the training samples are constructed by using the radial velocity and spectral width of the weather signal from the neighboring range bins. Then through the training of samples, the model parameters are searched and optimized according to the least square criterion. Finally, the optimized I-ELM model is utilized to recover the weather signal of the contaminated range bin. Theoretical analysis and simulation results show that the proposed algorithm can effectively suppress WTC and significantly reduce the deviation of radial velocity estimation and spectral width estimation caused by WTC contamination.","PeriodicalId":6809,"journal":{"name":"2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA)","volume":"23 1","pages":"1151-1154"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85578803","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
With the continuous expansion of the scale of power grids, the amount of monitoring data of power equipment is growing and the reliability demand of power equipment is increasing. In order to cope with power transformer accidents caused by damp faults in oil-immersed bushings, this paper applies big data clustering technology to construct a bushing damp fault evaluation index system, and combines the posting progress obtained from TOPSIS method to achieve a quantitative assessment of the damp state of bushings. The effectiveness of this method is also verified with examples.
{"title":"Evaluation of Transformer Bushing Moisture Faults Based on Clustering Algorithms and TOPSIS","authors":"Yiming Liu, Chang-yun Li, Qingtao Hou, Hong-wei Yan, Xin Cao, Minling Xu","doi":"10.1109/ICIEA51954.2021.9516298","DOIUrl":"https://doi.org/10.1109/ICIEA51954.2021.9516298","url":null,"abstract":"With the continuous expansion of the scale of power grids, the amount of monitoring data of power equipment is growing and the reliability demand of power equipment is increasing. In order to cope with power transformer accidents caused by damp faults in oil-immersed bushings, this paper applies big data clustering technology to construct a bushing damp fault evaluation index system, and combines the posting progress obtained from TOPSIS method to achieve a quantitative assessment of the damp state of bushings. The effectiveness of this method is also verified with examples.","PeriodicalId":6809,"journal":{"name":"2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA)","volume":"134 1","pages":"2114-2118"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76718229","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-08-01DOI: 10.1109/ICIEA51954.2021.9516229
P. Albertos, G. Scaglia, J. Yuz, Cui Wei
Non-minimum phase plants are always difficult to control. Recently, the so-called Linear Algebra Based Control Design methodology has been used for trajectory control of linear and nonlinear plants, being initially limited to minimum phase plants. In this work, the approach is extended to deal with unstable zero dynamics plants. First, the case of linear plants is analyzed, considering the appearance of a non minimum phase zero. A solution is proposed to deal with the zero in the positive real axis, requiring a reference signal known in advance. Then, the approach is applied to nonlinear plants where the unstable zero dynamics is determined by a single parameter in the plant model. Simulations are included to illustrate the procedure.
{"title":"Trajectory Control in Non-Minimum Phase Plants","authors":"P. Albertos, G. Scaglia, J. Yuz, Cui Wei","doi":"10.1109/ICIEA51954.2021.9516229","DOIUrl":"https://doi.org/10.1109/ICIEA51954.2021.9516229","url":null,"abstract":"Non-minimum phase plants are always difficult to control. Recently, the so-called Linear Algebra Based Control Design methodology has been used for trajectory control of linear and nonlinear plants, being initially limited to minimum phase plants. In this work, the approach is extended to deal with unstable zero dynamics plants. First, the case of linear plants is analyzed, considering the appearance of a non minimum phase zero. A solution is proposed to deal with the zero in the positive real axis, requiring a reference signal known in advance. Then, the approach is applied to nonlinear plants where the unstable zero dynamics is determined by a single parameter in the plant model. Simulations are included to illustrate the procedure.","PeriodicalId":6809,"journal":{"name":"2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA)","volume":"52 1","pages":"177-182"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76899323","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-08-01DOI: 10.1109/ICIEA51954.2021.9516134
Xiaotian Zhang, Q. Jiang
In the sensorless control system of permanent magnet synchronous motor (PMSM), the feedback accuracy of rotor position and speed affects the dynamic performance of the system. The sliding mode observer (SMO) can be used to observe the rotor position and speed effectively. To reduce the chattering and improve the observation accuracy, the fuzzy control and SMO are combined first in the paper, and the fuzzy sliding mode gain is designed to be adaptively changed according to the system state. Then a low-pass filter (LPF) whose cutoff frequency is variable with speed is used to filter the extended electromotive force (EEMF) observed by the SMO. In this way, the improved SMO is more suitable for different operating states of the motor. Besides, the paper analyzes the superiority of the method over the conventional SMO theoretically. Finally, it is verified through simulation that the proposed control strategy without position sensor can effectively weaken the system chattering and improve the observation accuracy of rotor position and speed.
{"title":"Research on Sensorless Control of PMSM Based on Fuzzy Sliding Mode Observer","authors":"Xiaotian Zhang, Q. Jiang","doi":"10.1109/ICIEA51954.2021.9516134","DOIUrl":"https://doi.org/10.1109/ICIEA51954.2021.9516134","url":null,"abstract":"In the sensorless control system of permanent magnet synchronous motor (PMSM), the feedback accuracy of rotor position and speed affects the dynamic performance of the system. The sliding mode observer (SMO) can be used to observe the rotor position and speed effectively. To reduce the chattering and improve the observation accuracy, the fuzzy control and SMO are combined first in the paper, and the fuzzy sliding mode gain is designed to be adaptively changed according to the system state. Then a low-pass filter (LPF) whose cutoff frequency is variable with speed is used to filter the extended electromotive force (EEMF) observed by the SMO. In this way, the improved SMO is more suitable for different operating states of the motor. Besides, the paper analyzes the superiority of the method over the conventional SMO theoretically. Finally, it is verified through simulation that the proposed control strategy without position sensor can effectively weaken the system chattering and improve the observation accuracy of rotor position and speed.","PeriodicalId":6809,"journal":{"name":"2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA)","volume":"68 1","pages":"213-218"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81113230","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-08-01DOI: 10.1109/ICIEA51954.2021.9516343
Angang Zheng, Yan Liu, Huaiying Shang, Min Ren, Qunlan Xu
Aiming to control the industrial power demand characterized by strong fluctuation and impact, this paper studies the multi-step forecasting problem of ultra-short term demand load. Based on the integrated empirical mode decomposition method, the signals with different frequencies are effectively separated by decomposition. Then, the long short memory neural network is used to independently predict different signal subsequences, and finally the subsequence prediction results are combined. The experimental results show that the proposed method can well predict the industrial demand load, and the indices of prediction accuracy, such as MAPE, MAE, and NRMSE, are all controlled within 2%, and are significantly better than several classical time series prediction model, as well as the latest literature algorithms. The transfer error is also eliminated in the method, which represents good prediction accuracy and stability to meet the demand of demand control.
{"title":"Ensemble empirical mode decomposition based electrical power demand forecasting for industrial user","authors":"Angang Zheng, Yan Liu, Huaiying Shang, Min Ren, Qunlan Xu","doi":"10.1109/ICIEA51954.2021.9516343","DOIUrl":"https://doi.org/10.1109/ICIEA51954.2021.9516343","url":null,"abstract":"Aiming to control the industrial power demand characterized by strong fluctuation and impact, this paper studies the multi-step forecasting problem of ultra-short term demand load. Based on the integrated empirical mode decomposition method, the signals with different frequencies are effectively separated by decomposition. Then, the long short memory neural network is used to independently predict different signal subsequences, and finally the subsequence prediction results are combined. The experimental results show that the proposed method can well predict the industrial demand load, and the indices of prediction accuracy, such as MAPE, MAE, and NRMSE, are all controlled within 2%, and are significantly better than several classical time series prediction model, as well as the latest literature algorithms. The transfer error is also eliminated in the method, which represents good prediction accuracy and stability to meet the demand of demand control.","PeriodicalId":6809,"journal":{"name":"2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA)","volume":"33 1","pages":"1294-1298"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81143346","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-08-01DOI: 10.1109/ICIEA51954.2021.9516248
Zhikang Ge, Zhuo Wang, X. Bai, Xiaoxiong Wang
In this paper, a robust sliding mode-based learning control (SMLC) scheme for lane-keeping systems (LKS) of road vehicles is proposed. It is assumed that all of signals in system satisfy Lipschitz-like condition, a robust sliding mode-based learning controller is designed to achieve the zero-error convergence of lateral position error dynamics. A new finding is that yaw angle error dynamics is able to converge to zero asymptotically on the sliding surface. Unlike many existing sliding mode control schemes, the proposed SMLC scheme does not require the bound information of unknown system parameters. More significantly, the LKS equipped with the SMLC algorithm exhibits a strong robustness against varying road conditions and external disturbances. Simulation results demonstrate that the designed SMLC scheme could exert excellent tracking performance and robustness.
{"title":"Robust Sliding Mode-Based Learning Control for Lane-Keeping Systems in Autonomous Vehicles","authors":"Zhikang Ge, Zhuo Wang, X. Bai, Xiaoxiong Wang","doi":"10.1109/ICIEA51954.2021.9516248","DOIUrl":"https://doi.org/10.1109/ICIEA51954.2021.9516248","url":null,"abstract":"In this paper, a robust sliding mode-based learning control (SMLC) scheme for lane-keeping systems (LKS) of road vehicles is proposed. It is assumed that all of signals in system satisfy Lipschitz-like condition, a robust sliding mode-based learning controller is designed to achieve the zero-error convergence of lateral position error dynamics. A new finding is that yaw angle error dynamics is able to converge to zero asymptotically on the sliding surface. Unlike many existing sliding mode control schemes, the proposed SMLC scheme does not require the bound information of unknown system parameters. More significantly, the LKS equipped with the SMLC algorithm exhibits a strong robustness against varying road conditions and external disturbances. Simulation results demonstrate that the designed SMLC scheme could exert excellent tracking performance and robustness.","PeriodicalId":6809,"journal":{"name":"2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA)","volume":"94 1","pages":"1856-1861"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85709745","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Fuel cell buses are powered by lithium batteries and fuel cells, according to the characteristics of the transmission structure and power source of a particular fuel cell bus, the mathematical models of the longitudinal dynamics, driver, demand torque, motor, fuel cell, and battery have been analyzed and established based on Matlab/Simulink. At the same time, a power-following real-time energy management strategy has been designed. After three sets of China heavy-duty commercial vehicle test cycles for buses and coaches were verified in a combined simulation, the results showed that the model of fuel cell bus better reflects the working characteristics, and the power distribution strategy can keep the fuel cell operating within a high efficiency range as much as possible. The battery provides energy when there is insufficient power, absorbs excess power from the fuel cell, and simultaneously recovers the energy lost from braking. The charging state is also maintained within a certain range. In addition, the hydrogen consumption has a negative correlation with the initial charging state.
{"title":"Modeling and Simulation of Fuel Cell Buses","authors":"Zhongwei Yu, Xingmei Gao, Xiandong Xie, Lingyun Xiao, Xiaohua Wu","doi":"10.1109/ICIEA51954.2021.9516371","DOIUrl":"https://doi.org/10.1109/ICIEA51954.2021.9516371","url":null,"abstract":"Fuel cell buses are powered by lithium batteries and fuel cells, according to the characteristics of the transmission structure and power source of a particular fuel cell bus, the mathematical models of the longitudinal dynamics, driver, demand torque, motor, fuel cell, and battery have been analyzed and established based on Matlab/Simulink. At the same time, a power-following real-time energy management strategy has been designed. After three sets of China heavy-duty commercial vehicle test cycles for buses and coaches were verified in a combined simulation, the results showed that the model of fuel cell bus better reflects the working characteristics, and the power distribution strategy can keep the fuel cell operating within a high efficiency range as much as possible. The battery provides energy when there is insufficient power, absorbs excess power from the fuel cell, and simultaneously recovers the energy lost from braking. The charging state is also maintained within a certain range. In addition, the hydrogen consumption has a negative correlation with the initial charging state.","PeriodicalId":6809,"journal":{"name":"2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA)","volume":"40 1","pages":"1625-1630"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85826614","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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