2021 IEEE Transportation Electrification Conference (ITEC-India)最新文献_第7页

Front Loading Of Electric Vehicle System Validation Through Virtual Drive Test 通过虚拟驾驶试验验证电动汽车前载系统

2021 IEEE Transportation Electrification Conference (ITEC-India) Pub Date : 2021-12-16 DOI: 10.1109/ITEC-India53713.2021.9932538

Tushar Sambharam, Rajesh Meena, Aniket Kulkarni, Avinash Padmappa, Tushit Desai, Ankit Adhiya, S. Joshi

{"title":"Front Loading Of Electric Vehicle System Validation Through Virtual Drive Test","authors":"Tushar Sambharam, Rajesh Meena, Aniket Kulkarni, Avinash Padmappa, Tushit Desai, Ankit Adhiya, S. Joshi","doi":"10.1109/ITEC-India53713.2021.9932538","DOIUrl":"https://doi.org/10.1109/ITEC-India53713.2021.9932538","url":null,"abstract":"The electric powertrain is a multi-disciplinary and hierarchical system with complex interactions between software development and hardware design. Emphasis on early-stage requirement verification via virtual plant model and actual controller algorithms are viewed as the next frontier of accelerating product creation. The frontloading of virtual integration, testing, and validation of critical performance metrics (e.g., range, power, and acceleration) necessitates fast and accurate plant models for system-level studies. As the design evolves from concepts to final validation, these models should be updated synchronously. This work explores advantages offered by virtualization of validation by applying simulation models developed through traditional design workflows. The use case considered for the work is the range prediction of the electric vehicle for a given state of the battery capacity. The plant model of the electric powertrain will be developed in a system simulation environment for monitoring battery capacity degradation and its multidisciplinary performance over the usage history. The system representations will be enhanced by incorporating high-fidelity plant models extracted from 3D Physics-based simulation.","PeriodicalId":162261,"journal":{"name":"2021 IEEE Transportation Electrification Conference (ITEC-India)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131030947","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

Numerical Investigations on Air Cooled Li-Ion Battery Modules for Effective Thermal Management 空气冷却锂离子电池模块有效热管理的数值研究

2021 IEEE Transportation Electrification Conference (ITEC-India) Pub Date : 2021-12-16 DOI: 10.1109/ITEC-India53713.2021.9932525

Siddhi Marathe, Shruti Wagh

{"title":"Numerical Investigations on Air Cooled Li-Ion Battery Modules for Effective Thermal Management","authors":"Siddhi Marathe, Shruti Wagh","doi":"10.1109/ITEC-India53713.2021.9932525","DOIUrl":"https://doi.org/10.1109/ITEC-India53713.2021.9932525","url":null,"abstract":"Lithium-ion batteries are widely used in electric vehicles due to the advantages of high energy density, low cost, but have limitations such as lifetime, safety, and cost. The service life of lithium-ion batteries is significantly impacted in a harsh environment. The battery thermal management system [BTMS] is implemented to limit the temperature in the given range. The air cooling system is highly preferred by most EVs due to its low cost, good reliability simple layout. This work includes numerical investigations on air-cooled li-ion battery cells arranged in a staggered way for effective thermal management. The main work includes the comparison between the arrangements of the air inlet and airflow over the cells in a module subjected to forced convection for a better cooling effect. The conjugate heat transfer simulation is carried out on both configurations to get the optimized battery pack design. The model is validated by simulating a single cell under 1C discharge conditions and transient thermal simulations. Analysis of results is based on flow parameters such as maximum temperature achieved, temperature, velocity & pressure gradients formed, and recirculation zones. Finally, some perspectives and outlooks on both the configurations based on the forced-air convection are put forward for future development.","PeriodicalId":162261,"journal":{"name":"2021 IEEE Transportation Electrification Conference (ITEC-India)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115819359","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

A Neuro Fuzzy Based Energy Management Strategy for a Series Hybrid 2-Wheeler: *Note: Sub-titles are not captured in Xplore and should not be used 一个基于神经模糊的能量管理策略的系列混合2-Wheeler: *注:副标题不捕获在Xplore，不应该使用

2021 IEEE Transportation Electrification Conference (ITEC-India) Pub Date : 2021-12-16 DOI: 10.1109/ITEC-India53713.2021.9932463

Kris Anthony, Amitabh Das, Y. Bhateshvar, K. Vora

{"title":"A Neuro Fuzzy Based Energy Management Strategy for a Series Hybrid 2-Wheeler: *Note: Sub-titles are not captured in Xplore and should not be used","authors":"Kris Anthony, Amitabh Das, Y. Bhateshvar, K. Vora","doi":"10.1109/ITEC-India53713.2021.9932463","DOIUrl":"https://doi.org/10.1109/ITEC-India53713.2021.9932463","url":null,"abstract":"Hybrid Vehicles can bridge the gap between Internal Combustion Engines (ICE) and Electric Vehicles (EV) to find a feasible solution for sustainable & affordable mobility. Series Hybrid Vehicles are range-extending vehicles where the engine is operated when the batteries are depleted giving an increased range to the user. To achieve such a transition, an Energy Management Strategy (EMS) for an Electric Hybrid Vehicle must have the objective of optimal utilization of Energy, reduced fuel consumption, fewer emissions. Rule based Strategies have the advantage of real time implementation but are limited in operating scenarios. This reduced scope can be expanded by using a Neuro-Fuzzy Network which is essentially a neural network combined with fuzzy logic. This paper details a Simulation of an EMS using Neuro-Fuzzy Rule Based Strategies on MATLAB-Simulink for a moderate-fidelity Series Hybrid electric two-wheeler model on MATLAB-Simulink. The objective of the EMS is to cover the distance traveled most efficiently. The results of the simulation show a significant improvement in energy consumption and fuel economy over the conventional ICE model. The Energy Consumption is also reduced by 133.5 Wh when compared with the Electric Model.","PeriodicalId":162261,"journal":{"name":"2021 IEEE Transportation Electrification Conference (ITEC-India)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123277101","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

Renewable Energy Integrated DC Microgrid for EV Charging Station 用于电动汽车充电站的可再生能源集成直流微电网

2021 IEEE Transportation Electrification Conference (ITEC-India) Pub Date : 2021-12-16 DOI: 10.1109/ITEC-India53713.2021.9932500

K. Naik, Bhooshan A. Rajpathak, A. Mitra, M. Kolhe

{"title":"Renewable Energy Integrated DC Microgrid for EV Charging Station","authors":"K. Naik, Bhooshan A. Rajpathak, A. Mitra, M. Kolhe","doi":"10.1109/ITEC-India53713.2021.9932500","DOIUrl":"https://doi.org/10.1109/ITEC-India53713.2021.9932500","url":null,"abstract":"Renewable energy based DC microgrid (MG) can be used for EV fast charging stations. Integration of EV charging station to DC MG is a reliable solution to cope up with the rapid increasing load demand of EVs. But, due to intermittent nature of solar PV and EV load the power management of such MGs is going to be stimulant. Developed countries like Norway are operating small hydro generator (SHG) -solar PV-battery storage system (BSS) based DC MGs to solve the power management issues of EV charging stations. But, the power flow oscillations with rapid solar PV dynamics during peak EV load demand cannot be compensated exhaustively due to slow operating time of SHG and C-rate restraint of BSS. Despite these constraints, a smart energy management strategy (SEMS) is proposed in this work to address power management objective. By predicting the EV load dynamics on iteration basis, the proposed SEMS is going to operate the SHG against its slow operating time and ensures the sustainable power flow control of EV charging station interfaced DC MG. Moreover, the configured DC MG model with SEMS is validated in OPAL-RT real time simulator.","PeriodicalId":162261,"journal":{"name":"2021 IEEE Transportation Electrification Conference (ITEC-India)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123525309","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

A Road Map to Sustainable Mobility: Analyzing the Dynamics of Lithium-Ion Battery Recycling 可持续移动的路线图:分析锂离子电池回收的动态

2021 IEEE Transportation Electrification Conference (ITEC-India) Pub Date : 2021-12-16 DOI: 10.1109/ITEC-India53713.2021.9932513

Krishna Mohan T V, Bhanu Pratap, R. Amit, Shankar Venugopal

引用次数: 0

Accurate Estimation of State of Charge Using Reduced Order Electrochemical Model 用降阶电化学模型准确估计电荷状态

2021 IEEE Transportation Electrification Conference (ITEC-India) Pub Date : 2021-12-16 DOI: 10.1109/ITEC-India53713.2021.9932464

S. Rawat, Subhra Gope, Malay Jana, S. Basu

{"title":"Accurate Estimation of State of Charge Using Reduced Order Electrochemical Model","authors":"S. Rawat, Subhra Gope, Malay Jana, S. Basu","doi":"10.1109/ITEC-India53713.2021.9932464","DOIUrl":"https://doi.org/10.1109/ITEC-India53713.2021.9932464","url":null,"abstract":"To estimate the dynamics of Li-ion cells (state of charge, cell voltage, etc.), various electrochemical models based on uniform reaction kinetics have been developed. Due to uniform reaction rate assumption, accurate prediction of cell behaviour is difficult. Also, many detailed physics-based models have been developed to improve accuracy of estimation but due to the higher computational cost, real time estimation of the cell dynamics is still limited. By keeping the above limitations in mind, present work focuses on developing an accurate model with low or moderate computational cost. Our model considers the analytical form for the non-uniform reaction rates and the polynomial approximation for concentration profiles and then uses efficient computational methodology in Python to simultaneously solve the involved partial and ordinary differential equations. Due to non-uniform consideration of reaction kinetics and the computational methodology adopted, the model is called as Non-Uniform Modified Reduced Order Model. This reduced order model accurately predicts the test data of large format commercially available Li-ion batteries for various C-rates. Further the robustness of model is proven by reproducing the results published using full pseudo-2-dimensional model in commercially available Multiphysics software for C-rate as high as 5C.","PeriodicalId":162261,"journal":{"name":"2021 IEEE Transportation Electrification Conference (ITEC-India)","volume":"06 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127138998","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

Charging Coordination of Opportunistic EV Users at Fast Charging Station with Adaptive Charging 基于自适应充电的快速充电站机会主义电动汽车用户充电协调

2021 IEEE Transportation Electrification Conference (ITEC-India) Pub Date : 2021-12-16 DOI: 10.1109/ITEC-India53713.2021.9932507

K. Konara, M. Kolhe

引用次数: 1

Modeling and Simulation of Launch Control System for Formula Student Electric Vehicle 学生方程式电动车发射控制系统建模与仿真

2021 IEEE Transportation Electrification Conference (ITEC-India) Pub Date : 2021-12-16 DOI: 10.1109/ITEC-India53713.2021.9932532

Arpan Biswas, Rahul Yadav

引用次数: 1

An Enhanced Universal Droop Control for Load Sharing in AC Microgrid for Residential Community 一种用于小区交流微电网负荷分担的增强通用下垂控制

2021 IEEE Transportation Electrification Conference (ITEC-India) Pub Date : 2021-12-16 DOI: 10.1109/ITEC-India53713.2021.9932423

D. Govind, H. Suryawanshi, P. Nachankar, Chintalpudi L. Narayana, Ankit Singhal, M. Ballal

引用次数: 0