{"title":"Double Q-learning-based Energy Management Strategy for Overall Energy Consumption Optimization of Fuel Cell/Battery Vehicle","authors":"Xiang Meng, Qi Li, Guorui Zhang, Xiaofeng Wang, Wei-rong Chen","doi":"10.1109/ITEC51675.2021.9490114","DOIUrl":"https://doi.org/10.1109/ITEC51675.2021.9490114","url":null,"abstract":"Nowadays, most energy management strategies (EMSs) of hybrid systems are developed based on optimization theories. However, the EMS with global optimization capabilities often relies on prior knowledge of operation condition, which is often difficult in practice. Furthermore, with the increasing promotion of machine learning technology, reinforcement learning has been introduced into the research field of hybrid system EMS. Algorithms such as Q-learning and Deep Q Network have been extensively studied. However, the above algorithms have inherent defects of overestimation problem, which will lead to the problems of instability and poor performance. In order to overcome the above problems and save the overall energy consumptions, this paper proposes to adopt Double Q-learning algorithm to design the EMS of a fuel cell hybrid system. Through simulation experiments, the effectiveness of the proposed strategy is verified.","PeriodicalId":339989,"journal":{"name":"2021 IEEE Transportation Electrification Conference & Expo (ITEC)","volume":"37 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130592565","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}
{"title":"Reliability Analysis of Shore-to-Ship Fast Charging Systems","authors":"S. Karimi, M. Zadeh, J. Suul, Christoph A. Thieme","doi":"10.1109/ITEC51675.2021.9490146","DOIUrl":"https://doi.org/10.1109/ITEC51675.2021.9490146","url":null,"abstract":"This paper presents a reliability assessment of Shore-to-Ship Sharging (S2SC) systems with focus on the two most common topologies of ac and dc charging. In the proposed reliability model, the Markov chain and reliability block diagrams are used to establish multi-state models of the system. In this regard, the state of system is defined as the maximum transferable charging power into the onboard batteries from shore which can be comprimised by the failure of the individual compoents. As the results of Markov chain analysis, the probability of the operation states and Mean Time to The First Failure (MTTFF) are calculated. Further, to clearify the impact of the failure of the individual compoents on the charigng mission, an application-specific failure threshold is defined. Subsequently, two relibility indices, namely, Loss of Charging Expectation (LOCE) and Derated Charging Expectation (DCE) are introduced and computed using the calculated prbability tables and the defined failure threshold. The results from conducting such analysis for two case studies with ac and dc S2SC systems, shows how the studied dc charging system is more reliable than its ac counterpart.","PeriodicalId":339989,"journal":{"name":"2021 IEEE Transportation Electrification Conference & Expo (ITEC)","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128088469","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}
Bo Zhang, R. Carlson, V. Galigekere, O. Onar, Mostak Mohammad, Charles C. Dickerson, L. Walker
{"title":"Quasi-Dynamic Electromagnetic Field Safety Analysis and Mitigation for High-Power Dynamic Wireless Charging of Electric Vehicles","authors":"Bo Zhang, R. Carlson, V. Galigekere, O. Onar, Mostak Mohammad, Charles C. Dickerson, L. Walker","doi":"10.1109/ITEC51675.2021.9490192","DOIUrl":"https://doi.org/10.1109/ITEC51675.2021.9490192","url":null,"abstract":"Dynamic wireless charging of electric vehicles (EV) is an emerging charging technology to enable non-contact wireless charging while the vehicle is moving. Compared to stationary wireless charging, in-motion wireless charging involves dynamic processes in which an EV is passing over the charging pads (transmitters). This in-motion process makes the dynamic electromagnetic (EM) environment more complicated, and EM safety needs to be ensured under all circumstances. This is due to the fact that the entire vehicle body may be exposed to magnetic fields while the vehicle moves over the energized transmitter. This paper investigates several typical charging scenarios when EVs approach, pass over, and move away from the charging pads. Quasi-dynamic models, which are preliminarily verified by coils' inductance measurements, are developed to analyze the dynamic process. Based on the quasi-dynamic analysis, shielding solutions are also studied to ensure EM safety for the dynamic wireless charging processes.","PeriodicalId":339989,"journal":{"name":"2021 IEEE Transportation Electrification Conference & Expo (ITEC)","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126149607","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}
{"title":"Correlation study between features of a geographic location and Electric Vehicle Uptake","authors":"S. Shom, K. James, M. Alahmad","doi":"10.1109/ITEC51675.2021.9490076","DOIUrl":"https://doi.org/10.1109/ITEC51675.2021.9490076","url":null,"abstract":"There are many socio-economic and travel-related factors of a given region that will impact the local adoption of Battery Electric Vehicles (BEVs). In this paper, eleven states are considered to study BEV uptake, and a total of 242 features are used to characterize each zip code. The results are analyzed to determine the degree of correlation between zip code features and BEV uptake. Preliminary results show several features well-correlated with BEV uptake, in particular individuals or households with high income in a single-dwelling unit and owning more than one vehicle.","PeriodicalId":339989,"journal":{"name":"2021 IEEE Transportation Electrification Conference & Expo (ITEC)","volume":"R-30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126631387","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}
{"title":"Modeling of Traction Batteries for Rail Applications Using Artificial Neural Networks","authors":"René Bauer, S. Reimann, P. Gratzfeld","doi":"10.1109/ITEC51675.2021.9490180","DOIUrl":"https://doi.org/10.1109/ITEC51675.2021.9490180","url":null,"abstract":"The development of novel operational strategies for battery electric trains requires a vehicle model including the traction battery. This paper proposes a method to generate accurate traction battery models on system level for application in a simulation model of battery electric multiple units. Artificial neural networks are used to identify the coherences within real system data from a traction battery used in an electric bus. Two approaches are examined to estimate the terminal voltage: a feedforward neural network and a long short-term memory network. Model generation is followed by a comparison with an existing physics-based battery model in order to prove the increase of accuracy.","PeriodicalId":339989,"journal":{"name":"2021 IEEE Transportation Electrification Conference & Expo (ITEC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130160718","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}
Lode De Herdt, A. Shekhar, Yu-Yuan Yu, G. C. Mouli, Jianning Dong, P. Bauer
{"title":"Power Hardware-in-the-Loop Demonstrator for Electric Vehicle Charging in Distribution Grids","authors":"Lode De Herdt, A. Shekhar, Yu-Yuan Yu, G. C. Mouli, Jianning Dong, P. Bauer","doi":"10.1109/ITEC51675.2021.9490098","DOIUrl":"https://doi.org/10.1109/ITEC51675.2021.9490098","url":null,"abstract":"A simple and low-cost Power Hardware-in-the-Loop (PHIL) demonstrator is developed for the purpose of studying the impact of Electric Vehicle (EV) charging on low voltage distribution grids. An energy saving power circulating method with potential bi-directional function is proposed in this study as well. The distribution grid under test runs on a Digital Real Time Simulator (DRTS), and a controlled 3-phase voltage at one of the nodes is formed using a power amplifier. The practical setup consists of Electric Vehicle Supply Equipment (EVSE) and a system which emulates the charging behaviour of an EV, referred to as an EV emulator. These are integrated using a 15 kW back to back ac-dc converter based power router. Structure, performance and limitations of the test-bed components, communication protocols and signal processing are discussed.","PeriodicalId":339989,"journal":{"name":"2021 IEEE Transportation Electrification Conference & Expo (ITEC)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116986814","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}
Jan Kleiner, Lorenz Lechermann, L. Komsiyska, G. Elger, C. Endisch
{"title":"Thermal Effects of Bad-Block-Management in an Intelligent Automotive Lithium-ion Battery Module based on lumped 3D Electro-Thermal Modeling","authors":"Jan Kleiner, Lorenz Lechermann, L. Komsiyska, G. Elger, C. Endisch","doi":"10.1109/ITEC51675.2021.9490059","DOIUrl":"https://doi.org/10.1109/ITEC51675.2021.9490059","url":null,"abstract":"In conventional battery systems, single weak cells are limiting the overall performance or are critical for the battery's safety. In intelligent battery systems, reconfiguration enables the individual handling of single cells in the system by Bad-Block-Management (BBM). Thereby, the thermal situation within the battery is changed by the combination of the thermal influence by weak cells and the reconfiguration procedures by BBM. For an optimal reconfiguration strategy, multiple aspects need to be considered such as the cell individual parameters, safety state and position. In this work, the thermal effects of various BBM scenarios under electric vehicle conditions are investigated on the example of an intelligent lithium-ion module made of 12 prismatic cells. A hardware prototype of an intelligent module with switchable cells is investigated experimentally to quantify the effects of reconfiguration and provide validation data for the model development. The model is based on electro-thermal coupling of a 3D lumped thermal model and an equivalent circuit model of the cell with electronics and reconfiguration functionality. The model is used to investigate the temperature distribution with weaks cells within the module and the effects of several associated BBM procedures.","PeriodicalId":339989,"journal":{"name":"2021 IEEE Transportation Electrification Conference & Expo (ITEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117149436","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}
Kevin Malena, C. Link, Sven Mertin, Sandra Gausemeier, A. Trächtler
{"title":"Validation of an Online State Estimation Concept for Microscopic Traffic Simulations◆◆Research supported by the Ministry of Economy, Innovation, Digitalization and Energy of North Rhine-Westphalia, Germany.","authors":"Kevin Malena, C. Link, Sven Mertin, Sandra Gausemeier, A. Trächtler","doi":"10.1109/ITEC51675.2021.9490087","DOIUrl":"https://doi.org/10.1109/ITEC51675.2021.9490087","url":null,"abstract":"This paper deals with a novel method for the online fitting of a microscopic traffic simulation model to the current state of a real world traffic area. The traffic state estimation is based on limited data of different measurement sources and guarantees general accordance of reality and simulation in terms of multimodal road traffic counts and vehicle speeds. The research is embedded in the challenge of improving the traffic by controlling the traffic light systems (TLS) of the examined area. Therefore, the current traffic state and the predicted route choices of individual road users are the matter of interest. The concept is generally transferable to any road traffic system. To give an impression of the accuracy and potential of the approach, the validation and first application results are presented.","PeriodicalId":339989,"journal":{"name":"2021 IEEE Transportation Electrification Conference & Expo (ITEC)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126772318","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}
C. S. Goli, M. Manjrekar, S. Essakiappan, P. Sahu, Nakul Shah
{"title":"Landscaping and Review of Traction Motors for Electric Vehicle Applications","authors":"C. S. Goli, M. Manjrekar, S. Essakiappan, P. Sahu, Nakul Shah","doi":"10.1109/ITEC51675.2021.9490129","DOIUrl":"https://doi.org/10.1109/ITEC51675.2021.9490129","url":null,"abstract":"With increasing penetration of electric vehicles, electric motor technologies have also seen rapid evolution. This paper reviews and provides a landscape of several topologies of traction motors employed in electrical vehicle traction applications. An emphasis has been made to showcase trends in volumetric power density and gravimetric power density of traction motors since they directly affect end product weight, packaging, and efficiency. A study and classification of motor topologies based on permanent magnet use, the location of the permanent magnets inside the motor, magnetic and reluctance components of torque, and design trends in rotor and stator have been discussed. Several key Original Equipment Manufacturers (OEM) products have been used in this analysis and thus, the paper provides a useful reference for understanding the product evolution and forecasting future trends.","PeriodicalId":339989,"journal":{"name":"2021 IEEE Transportation Electrification Conference & Expo (ITEC)","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124126331","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}
{"title":"Thermal Stress Oriented Dispatch Strategy for Paralleled Grid-Connected Converters in Electric Vehicle Charging Stations","authors":"Luocheng Wang, Linquan Bai, Tiefu Zhao","doi":"10.1109/ITEC51675.2021.9490172","DOIUrl":"https://doi.org/10.1109/ITEC51675.2021.9490172","url":null,"abstract":"The severe thermal stress is justified to be one major failure cause in power semiconductor devices. Most of the previous thermal stress reduction methods only scope on the local controller level for the individual converter. In the proposed method, a centralized system level strategy is designed to deal with the varying charging profiles in the electric vehicle charging station, where the proposed dispatch algorithm makes full use of the local control level thermal stress reduction methods, including the reactive power injection and the switching frequency variation, to adjust the power loss and reshape the thermal profiles for multiple grid-connected converters. The proposed thermal stress oriented dispatch (TSOD) strategy is described in this paper and its superior performance on the junction temperature profiles is validated through a real-time model-in-the-loop testing and a digital twin experimental prototype.","PeriodicalId":339989,"journal":{"name":"2021 IEEE Transportation Electrification Conference & Expo (ITEC)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121552894","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}