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2020 AEIT International Conference of Electrical and Electronic Technologies for Automotive (AEIT AUTOMOTIVE)最新文献

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Sparse Approximation of LS-SVM for LPV-ARX Model Identification: Application to a Powertrain Subsystem LS-SVM稀疏逼近在LPV-ARX模型识别中的应用
2020 AEIT International Conference of Electrical and Electronic Technologies for Automotive (AEIT AUTOMOTIVE) Pub Date : 2020-11-18 DOI: 10.23919/AEITAUTOMOTIVE50086.2020.9307401
L. Cavanini, F. Ferracuti, S. Longhi, E. Marchegiani, A. Monteriù
{"title":"Sparse Approximation of LS-SVM for LPV-ARX Model Identification: Application to a Powertrain Subsystem","authors":"L. Cavanini, F. Ferracuti, S. Longhi, E. Marchegiani, A. Monteriù","doi":"10.23919/AEITAUTOMOTIVE50086.2020.9307401","DOIUrl":"https://doi.org/10.23919/AEITAUTOMOTIVE50086.2020.9307401","url":null,"abstract":"Least Squares Support Vector Machine (LS-SVM) has been recently applied to non-parametric identification of Linear Parameter Varying (LPV) systems, described by the AutoRegressive with eXogenous input (ARX). However, the online application of LPV-ARX system in the LS-SVM setting requires high computational time, related to the number of training data used to compute the coefficients of the identified model, limiting the possibility to use the method to real-time applications. In this paper, the authors propose the Low-Rank (LR) matrix approximation and a pruning based approach to compute a sparse solution. In particular, the pruning algorithm is considered to compute off-line a sparse solution of Lagrangian multipliers and then speed up the testing stage, whereas the LR matrix approximation allows to speed up the training stage. The proposed approach has been tested by identifying a subsystem of a vehicle powertrain model by the input/output data collected from the simulation model. The proposed approach has been compared with respect to the standard approach based on LS-SVM. The methods are tested on the considered real-world problem and the proposed approach permits to reduce the execution time of about 77% on average in the considered identification problem, corresponding to a degradation of the identification result less than 0.2% with respect to the standard solution.","PeriodicalId":104806,"journal":{"name":"2020 AEIT International Conference of Electrical and Electronic Technologies for Automotive (AEIT AUTOMOTIVE)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133280509","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
Supercapacitor Assisted Hybrid Electric Vehicle Powertrain and Power Selection using Fuzzy Rule-Based Algorithm 基于模糊规则算法的超级电容辅助混合动力汽车动力总成及功率选择
2020 AEIT International Conference of Electrical and Electronic Technologies for Automotive (AEIT AUTOMOTIVE) Pub Date : 2020-11-18 DOI: 10.23919/AEITAUTOMOTIVE50086.2020.9307378
Brayden Noh
{"title":"Supercapacitor Assisted Hybrid Electric Vehicle Powertrain and Power Selection using Fuzzy Rule-Based Algorithm","authors":"Brayden Noh","doi":"10.23919/AEITAUTOMOTIVE50086.2020.9307378","DOIUrl":"https://doi.org/10.23919/AEITAUTOMOTIVE50086.2020.9307378","url":null,"abstract":"Heavy electric vehicles vary their power demands due to frequently varying loads. The paper proposes an applied fuzzy logic algorithm for the acceleration strategy of supercapacitor assisted electric vehicles, which selects the appropriate power source based on the vehicle power demand. The algorithm can determine the supercapacitor cutoff phase within 200 milliseconds with the developed test vehicle system during the initial vehicle acceleration based on the peak current and current slope. The system reduces battery stress by limiting transient power, improving the hybrid powertrain's longevity and efficiency.","PeriodicalId":104806,"journal":{"name":"2020 AEIT International Conference of Electrical and Electronic Technologies for Automotive (AEIT AUTOMOTIVE)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125458778","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: 0
Advanced Techniques for Powering Wireless Sensor Nodes through Energy Harvesting and Wireless Power Transfer 通过能量收集和无线能量传输为无线传感器节点供电的先进技术
2020 AEIT International Conference of Electrical and Electronic Technologies for Automotive (AEIT AUTOMOTIVE) Pub Date : 2020-11-18 DOI: 10.23919/AEITAUTOMOTIVE50086.2020.9307406
R. L. Rosa, Mario Costanza, P. Livreri
{"title":"Advanced Techniques for Powering Wireless Sensor Nodes through Energy Harvesting and Wireless Power Transfer","authors":"R. L. Rosa, Mario Costanza, P. Livreri","doi":"10.23919/AEITAUTOMOTIVE50086.2020.9307406","DOIUrl":"https://doi.org/10.23919/AEITAUTOMOTIVE50086.2020.9307406","url":null,"abstract":"This paper presents three different techniques for efficiently powering an energy-autonomous wireless sensor (EAWS) through both energy harvesting (EH) and RF wireless power transfer (WPT). The aim of the paper is to provide effective strategies and techniques to reduce, as far as possible, the cost of wiring of the automotive production process due to the continuous and constant increase in the use of sensors. The techniques employ a highly integrated state-of-the-art, ultra-low power 2.5 μW system-on-chip (SoC) system, designed for multi-source RF wireless energy harvesting and power transfer and are designed with the goal of minimizing and, where possible, eliminating the costly maintenance required by conventional wireless sensors. Specific examples are reported that define both the aspects of convenience and the limits of use.","PeriodicalId":104806,"journal":{"name":"2020 AEIT International Conference of Electrical and Electronic Technologies for Automotive (AEIT AUTOMOTIVE)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122179822","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
Simplified Electro-Thermal Model For Lithium Cells Based On Experimental Tests 基于实验测试的锂电池简化电热模型
2020 AEIT International Conference of Electrical and Electronic Technologies for Automotive (AEIT AUTOMOTIVE) Pub Date : 2020-11-18 DOI: 10.23919/AEITAUTOMOTIVE50086.2020.9307396
M. Barbieri, M. Ceraolo, G. Lutzemberger, C. Scarpelli, T. Pesso, M. Giovannucci
{"title":"Simplified Electro-Thermal Model For Lithium Cells Based On Experimental Tests","authors":"M. Barbieri, M. Ceraolo, G. Lutzemberger, C. Scarpelli, T. Pesso, M. Giovannucci","doi":"10.23919/AEITAUTOMOTIVE50086.2020.9307396","DOIUrl":"https://doi.org/10.23919/AEITAUTOMOTIVE50086.2020.9307396","url":null,"abstract":"As the use of lithium batteries for energy storage systems is worldwide increasing both for stationary and mobile applications, the possibility to model the batteries electrical and thermal behaviour is fundamental. A complete battery is usually composed by several minor size cells linked together: hence, for a whole battery model, a single cell model is necessary. This paper shows the development of a simplified electro-thermal model for small size lithium cells, able to estimate voltage and temperature with a maximum average error lower than 3% between model and experimental data. The cell electrical and thermal parameters are calibrated through experimental tests performed in University of Pisa laboratories, in collaboration with the company Toyota Material Handling Manufacturing Italy.","PeriodicalId":104806,"journal":{"name":"2020 AEIT International Conference of Electrical and Electronic Technologies for Automotive (AEIT AUTOMOTIVE)","volume":"179 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132455197","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
Iterative Design of a 60 kW All-Si Modular LLC Converter for Electric Vehicle Ultra-Fast Charging 电动汽车超快充电60kw全硅模块LLC变换器的迭代设计
2020 AEIT International Conference of Electrical and Electronic Technologies for Automotive (AEIT AUTOMOTIVE) Pub Date : 2020-11-18 DOI: 10.23919/AEITAUTOMOTIVE50086.2020.9307381
D. Cittanti, Enrico Vico, M. Gregorio, F. Mandrile, R. Bojoi
{"title":"Iterative Design of a 60 kW All-Si Modular LLC Converter for Electric Vehicle Ultra-Fast Charging","authors":"D. Cittanti, Enrico Vico, M. Gregorio, F. Mandrile, R. Bojoi","doi":"10.23919/AEITAUTOMOTIVE50086.2020.9307381","DOIUrl":"https://doi.org/10.23919/AEITAUTOMOTIVE50086.2020.9307381","url":null,"abstract":"This paper proposes an iterative design procedure for a high-power LLC resonant converter, taking part in a 60 kW modular DC/DC conversion stage for an electric vehicle (EV) ultra-fast battery charger. The basics of operation of the LLC converter are briefly recalled and the most relevant analytical expressions are reported. Due to the high-power requirement and the wide output battery voltage range (i.e. 250-1000 V), a modular design approach is adopted, leveraging the split input DC-link structure provided by a 3-level active front-end. A total of four modules, with at 15 kW nominal power and a 250-500 V output voltage regulation capability, are designed with a straightforward iterative procedure based on the first-harmonic approximation (FHA). Finally, the proposed methodology is verified experimentally on a 15 kW LLC converter prototype directly resulting from the design procedure.","PeriodicalId":104806,"journal":{"name":"2020 AEIT International Conference of Electrical and Electronic Technologies for Automotive (AEIT AUTOMOTIVE)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132148801","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: 16
48V Electric Vehicle Powertrain Optimal Model-based Design Methodology 基于模型的48V电动汽车动力总成优化设计方法
2020 AEIT International Conference of Electrical and Electronic Technologies for Automotive (AEIT AUTOMOTIVE) Pub Date : 2020-11-18 DOI: 10.23919/AEITAUTOMOTIVE50086.2020.9307407
Kazusa Yamamoto, Matthieu Ponchant, F. Sellier, T. Favilli, L. Pugi, L. Berzi
{"title":"48V Electric Vehicle Powertrain Optimal Model-based Design Methodology","authors":"Kazusa Yamamoto, Matthieu Ponchant, F. Sellier, T. Favilli, L. Pugi, L. Berzi","doi":"10.23919/AEITAUTOMOTIVE50086.2020.9307407","DOIUrl":"https://doi.org/10.23919/AEITAUTOMOTIVE50086.2020.9307407","url":null,"abstract":"Battery autonomy and drive range of Electric Vehicles could be improved by smart control of the power flows requested by equipped systems. In this paper, the authors propose two energy-saving strategies, acting respectively in the electric driveline consumption minimization and in the auxiliary power allocation policy. Developed solutions aim at the reduction of the power demand, both concerning e-powertrain and sub-components, not directly related to traction purpose, enhancing corresponding driveability distance. Evaluation of the result is done through a model-based approach, using a concept e-car proposed by Valeo and implemented in a co-simulation environment, between Amesim and Simulink. The investigated methodology appears as a useful tool for the optimal design of the vehicle sub-system and component.","PeriodicalId":104806,"journal":{"name":"2020 AEIT International Conference of Electrical and Electronic Technologies for Automotive (AEIT AUTOMOTIVE)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133552257","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
Deep Bio-Sensing Embedded System for a Robust Car-Driving Safety Assessment 一种鲁棒汽车驾驶安全评估的深度生物传感嵌入式系统
2020 AEIT International Conference of Electrical and Electronic Technologies for Automotive (AEIT AUTOMOTIVE) Pub Date : 2020-11-18 DOI: 10.23919/AEITAUTOMOTIVE50086.2020.9307409
F. Rundo, C. Spampinato, S. Conoci, F. Trenta, S. Battiato
{"title":"Deep Bio-Sensing Embedded System for a Robust Car-Driving Safety Assessment","authors":"F. Rundo, C. Spampinato, S. Conoci, F. Trenta, S. Battiato","doi":"10.23919/AEITAUTOMOTIVE50086.2020.9307409","DOIUrl":"https://doi.org/10.23919/AEITAUTOMOTIVE50086.2020.9307409","url":null,"abstract":"Recent statistics confirmed that the car driver drowsiness monitoring reduces drastically the road accidents. In scientific literature, several advanced approaches have been proposed to monitor the driver’s level of attention, providing a real-time warning to increase driving safety. With this aim, we propose an innovative method which consists of ad-hoc designed bio-sensing system to assess the car driver’s physiological state. The designed bio-sensing system includes a probe which detects a physiological signal of the subject i.e. the PhotoPlethysmoGraphy (PPG). The physio-probe device has been embedded on several points of the car’s steering wheel in order to sample the PPG signal from the driver’s hand. Furthermore, ad-hoc motion magnification algorithm was developed to reconstruct PPG from visual car driver face motions when physical PPG signal is unavailable. An innovative deep learning system completes the proposed pipeline in order to classify the driver drowsiness from the so collected PPG signal. The drowsiness detection performance (average accuracy of around 90%) confirmed the effectiveness of the proposed approach.","PeriodicalId":104806,"journal":{"name":"2020 AEIT International Conference of Electrical and Electronic Technologies for Automotive (AEIT AUTOMOTIVE)","volume":"148 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132299190","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
Energy-Efficient Coordinated Electric Truck-Drone Hybrid Delivery Service Planning 节能协调电动卡车-无人机混合配送服务规划
2020 AEIT International Conference of Electrical and Electronic Technologies for Automotive (AEIT AUTOMOTIVE) Pub Date : 2020-11-18 DOI: 10.23919/AEITAUTOMOTIVE50086.2020.9307420
Donkyu Baek, Yukai Chen, N. Chang, E. Macii, M. Poncino
{"title":"Energy-Efficient Coordinated Electric Truck-Drone Hybrid Delivery Service Planning","authors":"Donkyu Baek, Yukai Chen, N. Chang, E. Macii, M. Poncino","doi":"10.23919/AEITAUTOMOTIVE50086.2020.9307420","DOIUrl":"https://doi.org/10.23919/AEITAUTOMOTIVE50086.2020.9307420","url":null,"abstract":"Recent works have shown that a coordinated delivery strategy in which a drone collaborates with a truck using it as a moving depot is quite effective in improving the performance and energy efficiency of the delivery process. As most of these works come from the research community of logistics and transportation, they are instead focused on the optimality of the algorithms, and neglect two critical issues: (1) they consider only a planar version of the problem ignoring the geographic information along the delivery route, and (2) they use a simplified battery model, truck, and drone power consumption model as they are mostly focused on optimizing delivery time alone rather than energy efficiency.In this work, we propose a greedy heuristic algorithm to deter-mine the most energy-efficient sequence of deliveries in which a drone and an EV truck collaborate in the delivery process, while accounting for the two above aspects. In our scenario, a drone delivers packages starting from the truck and returns to the truck after the delivery, while the truck continues on its route and possibly delivers other packages. Results show that, by carefully using the drone’s energy along the truck delivery route, we can achieve 43-69% saving of the truck battery energy on average over a set of different delivery sets and different drone battery sizes. We also compared two \"common-sense\" heuristics, concerning which we saved up to 42%.","PeriodicalId":104806,"journal":{"name":"2020 AEIT International Conference of Electrical and Electronic Technologies for Automotive (AEIT AUTOMOTIVE)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115411681","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: 7
Frequency Analysis and Comparison of LCCL and CLLC Compensations for Capacitive Wireless Power Transfer 电容式无线输电中LCCL和CLLC补偿的频率分析与比较
2020 AEIT International Conference of Electrical and Electronic Technologies for Automotive (AEIT AUTOMOTIVE) Pub Date : 2020-11-18 DOI: 10.23919/AEITAUTOMOTIVE50086.2020.9307429
A. Reatti, S. Musumeci, F. Corti
{"title":"Frequency Analysis and Comparison of LCCL and CLLC Compensations for Capacitive Wireless Power Transfer","authors":"A. Reatti, S. Musumeci, F. Corti","doi":"10.23919/AEITAUTOMOTIVE50086.2020.9307429","DOIUrl":"https://doi.org/10.23919/AEITAUTOMOTIVE50086.2020.9307429","url":null,"abstract":"In this paper a comparison between a LCCL and CLLC resonant compensations for Capacitive Wireless Power Transfer (CWPT) system is presented. A review of several compensation topologies is presented. From this analysis emerges that these two topologies represent the more promising compensation for high power applications, such as Electric Vehicle (EV) wireless charging. The frequency behavior of each topology is analyzed studying the equivalent input impedance and the voltage transfer function. After design of each compensation to operate at optimum operating condition, the output power and the efficiency are evaluated under load, coupling parasitic resistances variations through LTspice simulations.","PeriodicalId":104806,"journal":{"name":"2020 AEIT International Conference of Electrical and Electronic Technologies for Automotive (AEIT AUTOMOTIVE)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123992859","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
Electrothermal Battery Pack Model for Automotive Application: Design and Validation 汽车用电热电池组模型:设计与验证
2020 AEIT International Conference of Electrical and Electronic Technologies for Automotive (AEIT AUTOMOTIVE) Pub Date : 2020-11-18 DOI: 10.23919/AEITAUTOMOTIVE50086.2020.9307377
Alessandro Rizzello, S. Scavuzzo, A. Ferraris, A. Airale, M. Carello
{"title":"Electrothermal Battery Pack Model for Automotive Application: Design and Validation","authors":"Alessandro Rizzello, S. Scavuzzo, A. Ferraris, A. Airale, M. Carello","doi":"10.23919/AEITAUTOMOTIVE50086.2020.9307377","DOIUrl":"https://doi.org/10.23919/AEITAUTOMOTIVE50086.2020.9307377","url":null,"abstract":"Thermal modeling of the battery is an important way to understand how the design and operating variables affect the thermal response during its operation. This paper presents a method for modeling the electrical and thermal behavior of a battery pack, starting from the characterization of the single Lithium-ion battery cell up to extend its validity to module and pack level. The model takes into account both the reversible entropic heat generation and the irreversible resistive heat to predict the temperature of the battery. A coupled CFD and thermal analysis on an elementary module is proposed and experimentally tested to validate the results obtained from the proposed model. Furthermore, the experimental test will verify the effectiveness of air cooling.","PeriodicalId":104806,"journal":{"name":"2020 AEIT International Conference of Electrical and Electronic Technologies for Automotive (AEIT AUTOMOTIVE)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132187317","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
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