2020 IEEE Vehicle Power and Propulsion Conference (VPPC)最新文献_第9页

Comparison of two levels of cell models for an EV current cycle 电动汽车电流循环两级电池模型的比较

2020 IEEE Vehicle Power and Propulsion Conference (VPPC) Pub Date : 2020-11-01 DOI: 10.1109/VPPC49601.2020.9330979

R. German, J. Jaguemont, A. Bouscayrol

引用次数: 0

Experimental & Modelling Study of Advanced Direct Coil Cooling Methods in a Switched Reluctance Motor 开关磁阻电机直接线圈冷却方法的实验与建模研究

2020 IEEE Vehicle Power and Propulsion Conference (VPPC) Pub Date : 2020-11-01 DOI: 10.1109/VPPC49601.2020.9330852

S. Schlimpert, Branimir Mrak, Ilja Siera, R. Sprangers, J. Nonneman, M. Paepe, Steven Vanhee

{"title":"Experimental & Modelling Study of Advanced Direct Coil Cooling Methods in a Switched Reluctance Motor","authors":"S. Schlimpert, Branimir Mrak, Ilja Siera, R. Sprangers, J. Nonneman, M. Paepe, Steven Vanhee","doi":"10.1109/VPPC49601.2020.9330852","DOIUrl":"https://doi.org/10.1109/VPPC49601.2020.9330852","url":null,"abstract":"The development of the next generation electrical vehicles requires drive-trains to become more compact, high-performant, and robust at the lowest possible cost. These more compact drive-trains operate at the same power ratings as their bigger sized equivalent and do need to dissipate their heat in a smaller volume. Therefore, more advanced liquid cooling methods of the drive-train components are needed to enhance the heat removal and increase the compactness, i.e., power density. Till now, most advanced cooled switched reluctance motors (SRM) of such drive-trains use already liquid cooling, i.e., Water& Glycol (WG) in a jacket. However, this liquid cooling method has only an indirect contact with the coils of the motor, i.e., is limited in thermal performance. Therefore, this paper studies direct coil cooling methods and specifically the direct oil jet cooling approach in terms of power density increase experimentally. In addition, the challenge of validating properly the experimental data of several innovative direct coil cooling concepts by commercial software packages will be discussed in the paper.","PeriodicalId":6851,"journal":{"name":"2020 IEEE Vehicle Power and Propulsion Conference (VPPC)","volume":"1 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89464896","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}

引用次数: 2

Optimal predictive power management strategy for fuel cell electric vehicles using neural networks in real-time 基于神经网络的燃料电池汽车实时最优预测功率管理策略

2020 IEEE Vehicle Power and Propulsion Conference (VPPC) Pub Date : 2020-11-01 DOI: 10.1109/VPPC49601.2020.9330931

Ahmed M. Ali, M. Yacoub

{"title":"Optimal predictive power management strategy for fuel cell electric vehicles using neural networks in real-time","authors":"Ahmed M. Ali, M. Yacoub","doi":"10.1109/VPPC49601.2020.9330931","DOIUrl":"https://doi.org/10.1109/VPPC49601.2020.9330931","url":null,"abstract":"Optimal predictive power management strategies (PMSs) for hybrid electric vehicles have a significant potentiality to achieve near-optimal solutions in real-time. Providing a priori prediction for power demand and implementing simplified, yet accurate, driveline models, to yield an optimal control strategy online are key challenges for predictive power management algorithms. Finding suitable solutions to resolve these challenges contributes to the ability of real-time PMSs to define efficient power handling strategies and hence promote better energy efficiency in electrified powertrains. This paper presents a neural networks-based predictive PMSs for fuel cell vehicles. The proposed method implements two types of networks, time-delay and nonlinear autoregressive network with exogenous inputs, to generate the required predictive models for the PMS. The online control module investigates an optimal power split strategy over the predicted horizon, considering minimal energy consumption and on-board charge retention. For comparative evaluation, rule-based method and the global optimal solution for a test driving cycle are considered. Results analysis revealed the ability of proposed method to yield an improvement of 20.71 % in energy efficiency without mitigating the state-of-charge on energy storage systems.","PeriodicalId":6851,"journal":{"name":"2020 IEEE Vehicle Power and Propulsion Conference (VPPC)","volume":"110 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80552690","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}

引用次数: 3

A novel text-style sequential modeling method for ultrasonic rail flaw detection 一种新的文本式序列建模方法用于超声钢轨探伤

2020 IEEE Vehicle Power and Propulsion Conference (VPPC) Pub Date : 2020-11-01 DOI: 10.1109/VPPC49601.2020.9330976

Xiao Luo, Yunqing Hu, Yue Liu, Hu Mengying, Wei Chu, Jun Lin

引用次数: 3

Automatic Conversion of a 3D Thermal Model of a Battery Cell into a 1D Lumped-Element Network : Paper for special session 8 - Multi-level Models for Simulation of Electrified Vehicles 电池单元三维热模型到一维集总元网络的自动转换:专题会议论文8 -电动汽车仿真的多级模型

2020 IEEE Vehicle Power and Propulsion Conference (VPPC) Pub Date : 2020-11-01 DOI: 10.1109/VPPC49601.2020.9330842

Josep Salvador-Iborra, Jürgen Schneider, R. Tatschl

{"title":"Automatic Conversion of a 3D Thermal Model of a Battery Cell into a 1D Lumped-Element Network : Paper for special session 8 - Multi-level Models for Simulation of Electrified Vehicles","authors":"Josep Salvador-Iborra, Jürgen Schneider, R. Tatschl","doi":"10.1109/VPPC49601.2020.9330842","DOIUrl":"https://doi.org/10.1109/VPPC49601.2020.9330842","url":null,"abstract":"As simulation of complex systems gets closer to reality, model-based development offers the opportunity to virtualize an increasing number of powertrain design and testing tasks. Many tasks are best dealt with using a combination of 3D and 1D modeling. To achieve this, one efficient technique is the conversion of high-fidelity 3D models into more flexible 1D models. This paper presents a novel automated workflow that allows to create a 1D lumped-element network using data from a 3D thermal simulation as input. Data collection is accomplished by an embedded algorithm that emulates the steps an expert would take to derive an equivalent 1D model. Generation of the lumped-element network using the collected data is also automatic. The method is tested and validated using a model of a pouch cell used in automotive batteries. Validation studies show very good agreement between the results of the original 3D model and the equivalent 1D model. Equivalence is maintained even when the model is extrapolated from ⅕ to 4 times the parametrization thermal load. This outcome encourages further development of the tool and application to more complex systems.","PeriodicalId":6851,"journal":{"name":"2020 IEEE Vehicle Power and Propulsion Conference (VPPC)","volume":"34 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86970685","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}

引用次数: 1

End-to-end High-speed Railway Dropper Breakage and Slack Monitoring Based on Computer Vision 基于计算机视觉的端到端高速铁路吊斗破损与松弛监测

2020 IEEE Vehicle Power and Propulsion Conference (VPPC) Pub Date : 2020-11-01 DOI: 10.1109/VPPC49601.2020.9330983

Shiwang Liu, Yunqing Hu, Jun Lin, Hao Yuan, Qunfang Xiong, Wei Yue

引用次数: 1

Welcome from the Chair of the VPPC Steering Committee VPPC指导委员会主席表示欢迎

2020 IEEE Vehicle Power and Propulsion Conference (VPPC) Pub Date : 2020-11-01 DOI: 10.1109/vppc49601.2020.9330823

引用次数: 0

Ride Blending Control for AWD Electric Vehicle with In-Wheel Motors and Electromagnetic Suspension 轮内电机与电磁悬架全驱电动汽车平顺性混合控制

2020 IEEE Vehicle Power and Propulsion Conference (VPPC) Pub Date : 2020-11-01 DOI: 10.1109/VPPC49601.2020.9330946

Lukas Hott, V. Ivanov, K. Augsburg, Vincenzo Ricciardi, M. Dhaens, M. A. Sakka, K. Praet, J. V. Molina

引用次数: 3

State Observation and Parameter Identification for Autonomous Heavy Haul Train 自主重载列车状态观测与参数辨识

2020 IEEE Vehicle Power and Propulsion Conference (VPPC) Pub Date : 2020-11-01 DOI: 10.1109/VPPC49601.2020.9330821

Kaibing Du, Zhanchao Wang, Zhengfang Zhang

引用次数: 1

Prognostics-based Energy Management in Fuel Cell Hybrid Electric Vehicle Considering RUL Uncertainty 考虑规则不确定性的燃料电池混合动力汽车能量预测管理

2020 IEEE Vehicle Power and Propulsion Conference (VPPC) Pub Date : 2020-11-01 DOI: 10.1109/VPPC49601.2020.9330958

Meiling Yue, S. Jemei, N. Zerhouni

引用次数: 2