Pub Date : 2019-11-01DOI: 10.1109/ICEVT48285.2019.8994010
E. Prasetio, P. Fajarindra Belgiawan, L. T. Anggarini, Dita Novizayanti, Safrani Nurfatiasari
This research aims to comprehend how public electric vehicle is preferred among other transportation modes namely shuttle bus, public bus, private motorcycle, and private car, specifically for long-range (approximately more than 20 km) daily commuting. Data collection process is conducted using questionnaire-based survey that is divided into three sections: Stated-Preferences (SP), Sociodemographics (SD) characteristics, and statement evaluations (SE). SP includes eight sets of selected labelled experiments with several attributes: travel time, travel cost, waiting time, access and egress time, access and egress cost, frequency, congestion time, and parking cost. Information on age, gender, and income are compiled in the SD section. The experimental design is developed using NGENE with a D-efficient design. We manage to gather 333 respondents and each of them corresponds to the 8 scenarios presented. Thus, a total of 2664 observations are acquired for further analysis in the light of travel mode choice behavior. An open source Python package, Biogeme, is used for the choice modeling analysis. Biogeme is designed for the maximum likelihood estimation of parametric models in general, with a special emphasis on discrete choice models. In this study, multinomial logit (MNL) modeling techniques is used as it is common in transportation research. There are 39 parameters (K= 39) used in the study comprised of four alternative specific constant (ASC): ASC2 for shuttle (SH), ASC3 for public bus (PB), ASC4 for private motorcycle (PM), and ASC5 for private car (PC); eight coefficients (beta) for each PB, PEV, and SH; five coefficients for each PM and PC; and a generic coefficient of travel cost. The result indicates that Indonesian commuters are mainly sensitive to travel time and congestion time when choosing transportation mode. It seems that emission, vibration, and noise levels are more concerning to public transport commuters than private transport commuters. Furthermore, it seems that commuters do not consider emission as very important. However, public electric bus is more preferred to public bus with the same parameters.
{"title":"Acceptance of Electric Vehicle in Indonesia: Case Study in Bandung","authors":"E. Prasetio, P. Fajarindra Belgiawan, L. T. Anggarini, Dita Novizayanti, Safrani Nurfatiasari","doi":"10.1109/ICEVT48285.2019.8994010","DOIUrl":"https://doi.org/10.1109/ICEVT48285.2019.8994010","url":null,"abstract":"This research aims to comprehend how public electric vehicle is preferred among other transportation modes namely shuttle bus, public bus, private motorcycle, and private car, specifically for long-range (approximately more than 20 km) daily commuting. Data collection process is conducted using questionnaire-based survey that is divided into three sections: Stated-Preferences (SP), Sociodemographics (SD) characteristics, and statement evaluations (SE). SP includes eight sets of selected labelled experiments with several attributes: travel time, travel cost, waiting time, access and egress time, access and egress cost, frequency, congestion time, and parking cost. Information on age, gender, and income are compiled in the SD section. The experimental design is developed using NGENE with a D-efficient design. We manage to gather 333 respondents and each of them corresponds to the 8 scenarios presented. Thus, a total of 2664 observations are acquired for further analysis in the light of travel mode choice behavior. An open source Python package, Biogeme, is used for the choice modeling analysis. Biogeme is designed for the maximum likelihood estimation of parametric models in general, with a special emphasis on discrete choice models. In this study, multinomial logit (MNL) modeling techniques is used as it is common in transportation research. There are 39 parameters (K= 39) used in the study comprised of four alternative specific constant (ASC): ASC2 for shuttle (SH), ASC3 for public bus (PB), ASC4 for private motorcycle (PM), and ASC5 for private car (PC); eight coefficients (beta) for each PB, PEV, and SH; five coefficients for each PM and PC; and a generic coefficient of travel cost. The result indicates that Indonesian commuters are mainly sensitive to travel time and congestion time when choosing transportation mode. It seems that emission, vibration, and noise levels are more concerning to public transport commuters than private transport commuters. Furthermore, it seems that commuters do not consider emission as very important. However, public electric bus is more preferred to public bus with the same parameters.","PeriodicalId":125935,"journal":{"name":"2019 6th International Conference on Electric Vehicular Technology (ICEVT)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125393663","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 : 2019-11-01DOI: 10.1109/ICEVT48285.2019.8993976
K. Ariwibawa, Putu Handre Kertha Utama, E. Leksono, Irsyad Nashirul Haq, Suprijanto
The lithium-ion batteries (LIB) frequently being used in the electric vehicle due to high energy density, high power density, and fairly long-life cycles. In this paper, LIB applied to electric trike which becoming very popular recently. Performance and life cycles of LIB sensitive to temperature, so it is necessary to maintain the temperature condition in the range of -20oC to 40oC. Temperature significantly affects the performance of the LIB battery and also limits the applications of the LIB battery. To be able to maintain the temperature of LIB at optimum temperature, the temperature distribution inside the LIB pack should be investigated first. This paper study the temperature distribution of the LIB pack used in the electric trike. Pack geometry, as well as the surrounding condition, first build in Solidworks. The geometry model then imported to Comsol Multiphysics to study phenomena of mass transport and heat transfer within the LIB pack and surrounding area. The main objective of this study is to lay the foundation to design the battery thermal management system (BTMS) in the LIB pack for the electric trike.
{"title":"Simulation Study on Thermal Characteristics and Temperature Distribution of Lithium-Ion Battery Pack in Electric Trike","authors":"K. Ariwibawa, Putu Handre Kertha Utama, E. Leksono, Irsyad Nashirul Haq, Suprijanto","doi":"10.1109/ICEVT48285.2019.8993976","DOIUrl":"https://doi.org/10.1109/ICEVT48285.2019.8993976","url":null,"abstract":"The lithium-ion batteries (LIB) frequently being used in the electric vehicle due to high energy density, high power density, and fairly long-life cycles. In this paper, LIB applied to electric trike which becoming very popular recently. Performance and life cycles of LIB sensitive to temperature, so it is necessary to maintain the temperature condition in the range of -20oC to 40oC. Temperature significantly affects the performance of the LIB battery and also limits the applications of the LIB battery. To be able to maintain the temperature of LIB at optimum temperature, the temperature distribution inside the LIB pack should be investigated first. This paper study the temperature distribution of the LIB pack used in the electric trike. Pack geometry, as well as the surrounding condition, first build in Solidworks. The geometry model then imported to Comsol Multiphysics to study phenomena of mass transport and heat transfer within the LIB pack and surrounding area. The main objective of this study is to lay the foundation to design the battery thermal management system (BTMS) in the LIB pack for the electric trike.","PeriodicalId":125935,"journal":{"name":"2019 6th International Conference on Electric Vehicular Technology (ICEVT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115527294","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 : 2019-11-01DOI: 10.1109/ICEVT48285.2019.8993993
Putu Hendra Widyadharma, Muhammad Alief Irham, T. R. Mayangsari, O. Floweri, A. H. Aimon, Ferry Iskandar
LiNi1–x–yCoxAlyO2 (NCA) is a type of cathode material that is commonly used in the latest generation of lithium-ion battery (LIB). NCA practically delivers high specific capacity (~200 mAh.g–1) with excellent electronic and ionic conductivity. Thanks to its extraordinary properties, NCA is projected to be used widely in the future generation of electric vehicles (EVs). However, its long synthesis process that engages high-temperature heat treatment is one of the problems that hamper its industrial mass production. Herein, we develop a new synthesis method by involving microwave- assisted heat treatment to reduce synthesis time and thus improve energy efficiency. In this work, LiNi0.8Co0.15Al0.05O2 (NCA) was successfully synthesized by using a chemical coprecipitation method followed by microwave-assisted heat treatment. The resulted materials were then characterized using X-Ray Diffraction (XRD) and Electrochemical Impedance Spectroscopy (EIS). It was revealed that 15 min of microwave heating was able to cut 50% of 12h total heat treatment time, marked with the successfully formed crystalline structure of NCA. Besides, NCA that was synthesized via microwave heating showed better electrochemical performance than NCA synthesized using a conventional method, indicated by a decrease of Rct in EIS measurement and an increase of specific capacity.
{"title":"Reducing Synthesis Time of LiNi0.8Co0.15Al0.05O2 (NCA) Cathode Material by Microwave Heat Treatment","authors":"Putu Hendra Widyadharma, Muhammad Alief Irham, T. R. Mayangsari, O. Floweri, A. H. Aimon, Ferry Iskandar","doi":"10.1109/ICEVT48285.2019.8993993","DOIUrl":"https://doi.org/10.1109/ICEVT48285.2019.8993993","url":null,"abstract":"LiNi1–x–yCoxAlyO2 (NCA) is a type of cathode material that is commonly used in the latest generation of lithium-ion battery (LIB). NCA practically delivers high specific capacity (~200 mAh.g–1) with excellent electronic and ionic conductivity. Thanks to its extraordinary properties, NCA is projected to be used widely in the future generation of electric vehicles (EVs). However, its long synthesis process that engages high-temperature heat treatment is one of the problems that hamper its industrial mass production. Herein, we develop a new synthesis method by involving microwave- assisted heat treatment to reduce synthesis time and thus improve energy efficiency. In this work, LiNi0.8Co0.15Al0.05O2 (NCA) was successfully synthesized by using a chemical coprecipitation method followed by microwave-assisted heat treatment. The resulted materials were then characterized using X-Ray Diffraction (XRD) and Electrochemical Impedance Spectroscopy (EIS). It was revealed that 15 min of microwave heating was able to cut 50% of 12h total heat treatment time, marked with the successfully formed crystalline structure of NCA. Besides, NCA that was synthesized via microwave heating showed better electrochemical performance than NCA synthesized using a conventional method, indicated by a decrease of Rct in EIS measurement and an increase of specific capacity.","PeriodicalId":125935,"journal":{"name":"2019 6th International Conference on Electric Vehicular Technology (ICEVT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130387859","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 : 2019-11-01DOI: 10.1109/icevt48285.2019.8993860
{"title":"ICEVT 2019 Contact Information","authors":"","doi":"10.1109/icevt48285.2019.8993860","DOIUrl":"https://doi.org/10.1109/icevt48285.2019.8993860","url":null,"abstract":"","PeriodicalId":125935,"journal":{"name":"2019 6th International Conference on Electric Vehicular Technology (ICEVT)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121646757","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 : 2019-11-01DOI: 10.1109/ICEVT48285.2019.8994030
R. Riyanto, S. A. Riyadi, C. Nuryakin, Natanael Waraney Gerald Massie
With the Electrified Vehicles (EVs) ventures being in the early stage, the cost-benefit analysis of the vehicles is key towards capturing the Indonesian market. As consumers, however, pricing may not only be the costs they consider; they also consider the total cost of ownership (TCO) of the cars they purchase. With that regard, this study discusses the total cost of ownership (TCO) of the EV in the Indonesian context, including calculations for HEV (Hybrid Electric Vehicle), PHEV (Plug-in Hybrid Electric Vehicle), and BEV (Battery Electric Vehicle), as well as Internal Combustion Engine (ICE) vehicles for comparisons. Specifically, this study aims to: (i) identify the monetary factors which affects total cost of ownership (TCO) of electric and conventional cars in Indonesia, (ii) construct a TCO model and calculate the value of total cost of ownership of electric and conventional cars in Indonesia, and (iii) compare the value of total cost of ownership of electric and conventional cars in Indonesia related to the relevant switching cost between EVs and ICE. Our findings suggest that generally, in Indonesia, higher usage and/or length of ownership of EVs lead to more competitive TCO compared to ICE. We also explore a comprehensive number of scenarios (e.g., total annual mileage, years of ownership, price, fuel prices, and cost incentives) in which the TCO of EV maximizes Indonesian consumer welfare.
{"title":"Estimating the Total Cost of Ownership (TCO) of Electrified Vehicle in Indonesia","authors":"R. Riyanto, S. A. Riyadi, C. Nuryakin, Natanael Waraney Gerald Massie","doi":"10.1109/ICEVT48285.2019.8994030","DOIUrl":"https://doi.org/10.1109/ICEVT48285.2019.8994030","url":null,"abstract":"With the Electrified Vehicles (EVs) ventures being in the early stage, the cost-benefit analysis of the vehicles is key towards capturing the Indonesian market. As consumers, however, pricing may not only be the costs they consider; they also consider the total cost of ownership (TCO) of the cars they purchase. With that regard, this study discusses the total cost of ownership (TCO) of the EV in the Indonesian context, including calculations for HEV (Hybrid Electric Vehicle), PHEV (Plug-in Hybrid Electric Vehicle), and BEV (Battery Electric Vehicle), as well as Internal Combustion Engine (ICE) vehicles for comparisons. Specifically, this study aims to: (i) identify the monetary factors which affects total cost of ownership (TCO) of electric and conventional cars in Indonesia, (ii) construct a TCO model and calculate the value of total cost of ownership of electric and conventional cars in Indonesia, and (iii) compare the value of total cost of ownership of electric and conventional cars in Indonesia related to the relevant switching cost between EVs and ICE. Our findings suggest that generally, in Indonesia, higher usage and/or length of ownership of EVs lead to more competitive TCO compared to ICE. We also explore a comprehensive number of scenarios (e.g., total annual mileage, years of ownership, price, fuel prices, and cost incentives) in which the TCO of EV maximizes Indonesian consumer welfare.","PeriodicalId":125935,"journal":{"name":"2019 6th International Conference on Electric Vehicular Technology (ICEVT)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127697761","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 : 2019-11-01DOI: 10.1109/ICEVT48285.2019.8994009
Meilisa Dewi Kharisma, Muhammad Ridwan, A. F. Ilmiawan, Ferdaus Ario Nurman, Saiful Rizal
The equivalent circuit of lithium-ion battery cell has been presented in some research to model a state of charge (SOC) and battery cell electrical behavior. The equivalent circuit was built from an open circuit voltage, two resistor-capacitor parallel networks, and a series internal resistance. In several application, some battery cells are connected in series-parallel configuration to produce a battery pack with specified voltage and capacity. In this paper, a modified battery cell model is used to represent the battery pack dynamics. The battery pack is assumed to be balanced on both series and parallel side. The model then validated by comparing simulation results between battery pack model and battery cells that connected in series-parallel configuration. Simulation results shows small difference between the two models.
{"title":"Modeling and Simulation of Lithium-Ion Battery Pack Using Modified Battery Cell Model","authors":"Meilisa Dewi Kharisma, Muhammad Ridwan, A. F. Ilmiawan, Ferdaus Ario Nurman, Saiful Rizal","doi":"10.1109/ICEVT48285.2019.8994009","DOIUrl":"https://doi.org/10.1109/ICEVT48285.2019.8994009","url":null,"abstract":"The equivalent circuit of lithium-ion battery cell has been presented in some research to model a state of charge (SOC) and battery cell electrical behavior. The equivalent circuit was built from an open circuit voltage, two resistor-capacitor parallel networks, and a series internal resistance. In several application, some battery cells are connected in series-parallel configuration to produce a battery pack with specified voltage and capacity. In this paper, a modified battery cell model is used to represent the battery pack dynamics. The battery pack is assumed to be balanced on both series and parallel side. The model then validated by comparing simulation results between battery pack model and battery cells that connected in series-parallel configuration. Simulation results shows small difference between the two models.","PeriodicalId":125935,"journal":{"name":"2019 6th International Conference on Electric Vehicular Technology (ICEVT)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121788320","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 : 2019-11-01DOI: 10.1109/ICEVT48285.2019.8994028
A. Aulia, Monika Faswia Fahmi, H. Hindersah, A. S. Rohman, Egi Muhammad Idris Hidayat
Vehicle simulator is used for various purposes, mainly driver training and vehicle model test. One of the most important part of vehicle simulator is motion simulator which simulates the vehicle motion. This part makes the user feel the motion sensation given by the real vehicle even though the user is in the simulator platform. The motion simulator itself consists of several subsystems : user interface, dynamic model calculation, motion cueing, and platform control system. This paper explains the implementation and its result of designed motion cueing and the motor position control which is a part of platform control system. The design is implemented on vehicle simulator in Institut Teknologi Bandung which has 4 degrees of freedom for its motion (pitch, roll, sway, and surge). The implemented motion cueing algorithm (MCA) is model predictive control (MPC), an optimization-based motion cueing algorithm. Sliding mode control (SMC) with saturation function is implemented for position control of the motor to solve nonlinear load torque disturbance which appear from a static behaviour when the platform rotates on pitch motion. From the motion cueing result, it can be inferred that MPC-based MCA can track the motion sensation of the real vehicle, especially for the surge and sway motion. For pitch and roll sensation, reference signals with lower frequency yield worse results compared to the signals with higher frequency ones. Meanwhile, from the motor position control result, it can be concluded that SMC with saturation function can track the position reference according to the calculation of motion cueing.
{"title":"Implementation of Motion Cueing and Motor Position Control for Vehicle Simulator with 4-DOF-Platform","authors":"A. Aulia, Monika Faswia Fahmi, H. Hindersah, A. S. Rohman, Egi Muhammad Idris Hidayat","doi":"10.1109/ICEVT48285.2019.8994028","DOIUrl":"https://doi.org/10.1109/ICEVT48285.2019.8994028","url":null,"abstract":"Vehicle simulator is used for various purposes, mainly driver training and vehicle model test. One of the most important part of vehicle simulator is motion simulator which simulates the vehicle motion. This part makes the user feel the motion sensation given by the real vehicle even though the user is in the simulator platform. The motion simulator itself consists of several subsystems : user interface, dynamic model calculation, motion cueing, and platform control system. This paper explains the implementation and its result of designed motion cueing and the motor position control which is a part of platform control system. The design is implemented on vehicle simulator in Institut Teknologi Bandung which has 4 degrees of freedom for its motion (pitch, roll, sway, and surge). The implemented motion cueing algorithm (MCA) is model predictive control (MPC), an optimization-based motion cueing algorithm. Sliding mode control (SMC) with saturation function is implemented for position control of the motor to solve nonlinear load torque disturbance which appear from a static behaviour when the platform rotates on pitch motion. From the motion cueing result, it can be inferred that MPC-based MCA can track the motion sensation of the real vehicle, especially for the surge and sway motion. For pitch and roll sensation, reference signals with lower frequency yield worse results compared to the signals with higher frequency ones. Meanwhile, from the motor position control result, it can be concluded that SMC with saturation function can track the position reference according to the calculation of motion cueing.","PeriodicalId":125935,"journal":{"name":"2019 6th International Conference on Electric Vehicular Technology (ICEVT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131130051","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 : 2019-11-01DOI: 10.1109/ICEVT48285.2019.8993982
E. Leksono, Irsyad Nashirul Haq, E. Juliastuti, Lalu Ghifarul Zaky Fahran, Fahri Muhamad Nabhan
As of right now the development of electric vehicles is very rapid. This is supported by the transition from vehicles with fuel oil to electricity, the development of increasingly widespread electric vehicles, and the production of increasingly cheap batteries. Generally, the battery used is a lithium-ion battery. But over time, the quality of the lithiumion battery will be degraded so that the battery quality is not as early as its use. The causes of battery degradation are unbalanced cell in the battery pack. T o overcome this problem, a reliable battery management system (BMS) is needed. In the design of the BMS to prevent the unbalance of the proposed battery voltage using the active method from cell to cell battery. BMS uses a microprocessor to process battery data, a microcontroller to control battery connecting switches, and a DC-DC converter circuit as well as a switched capacitor (SC). From the proposed design BMS is able to monitor the voltage of each battery directly, able to store automatic data on the database in the microprocessor, able to set the switch connected between the highest voltage battery to the lowest voltage battery, able to balance the battery with a voltage difference between batteries up to 0.0032 V, able to increase the capacity of the battery pack compared to the system without a balancing system up to 130 mAh, and the balancing system can increase the energy of the battery pack compared to the system without a balancing system to 10.363 Wh or 6.88%.
{"title":"Development of Active Cell To Cell Battery Balancing System for Electric Vehicle Applications","authors":"E. Leksono, Irsyad Nashirul Haq, E. Juliastuti, Lalu Ghifarul Zaky Fahran, Fahri Muhamad Nabhan","doi":"10.1109/ICEVT48285.2019.8993982","DOIUrl":"https://doi.org/10.1109/ICEVT48285.2019.8993982","url":null,"abstract":"As of right now the development of electric vehicles is very rapid. This is supported by the transition from vehicles with fuel oil to electricity, the development of increasingly widespread electric vehicles, and the production of increasingly cheap batteries. Generally, the battery used is a lithium-ion battery. But over time, the quality of the lithiumion battery will be degraded so that the battery quality is not as early as its use. The causes of battery degradation are unbalanced cell in the battery pack. T o overcome this problem, a reliable battery management system (BMS) is needed. In the design of the BMS to prevent the unbalance of the proposed battery voltage using the active method from cell to cell battery. BMS uses a microprocessor to process battery data, a microcontroller to control battery connecting switches, and a DC-DC converter circuit as well as a switched capacitor (SC). From the proposed design BMS is able to monitor the voltage of each battery directly, able to store automatic data on the database in the microprocessor, able to set the switch connected between the highest voltage battery to the lowest voltage battery, able to balance the battery with a voltage difference between batteries up to 0.0032 V, able to increase the capacity of the battery pack compared to the system without a balancing system up to 130 mAh, and the balancing system can increase the energy of the battery pack compared to the system without a balancing system to 10.363 Wh or 6.88%.","PeriodicalId":125935,"journal":{"name":"2019 6th International Conference on Electric Vehicular Technology (ICEVT)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133401086","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 : 2019-11-01DOI: 10.1109/ICEVT48285.2019.8993971
I. Ridwany, A. Kurniawan, T. Juhana, B. Ai, Longhe Wang
The analysis of channel measurement based ray-tracing (RT) simulation nowadays is considered as one of the most effective in solving traffic railway communication. In order to handle the increasing capacity demand for higher transmission capabilities, the railway communication system should be support by high data rate conectivity and feasible in many areas included urban area. The channel characteristic for railway scenario are explored by RT analysis method in the simulation at 800 MHz with 20 MHz bandwidth. Also most straightforward way to increase capacity is to add more bandwidth. The scenario for high speed railway (HSR) are modeling in urban area. However due to channel information parameters are extracted and incorporated into a 3GPP-like random channel generator. Well to analysis the channel mesurement depend on ray-tracing for HSR can be adjusted with the channel information on the area.
{"title":"Channel Measurement-based Ray-tracing Analysis for High Speed Railway Scenario at 800MHz","authors":"I. Ridwany, A. Kurniawan, T. Juhana, B. Ai, Longhe Wang","doi":"10.1109/ICEVT48285.2019.8993971","DOIUrl":"https://doi.org/10.1109/ICEVT48285.2019.8993971","url":null,"abstract":"The analysis of channel measurement based ray-tracing (RT) simulation nowadays is considered as one of the most effective in solving traffic railway communication. In order to handle the increasing capacity demand for higher transmission capabilities, the railway communication system should be support by high data rate conectivity and feasible in many areas included urban area. The channel characteristic for railway scenario are explored by RT analysis method in the simulation at 800 MHz with 20 MHz bandwidth. Also most straightforward way to increase capacity is to add more bandwidth. The scenario for high speed railway (HSR) are modeling in urban area. However due to channel information parameters are extracted and incorporated into a 3GPP-like random channel generator. Well to analysis the channel mesurement depend on ray-tracing for HSR can be adjusted with the channel information on the area.","PeriodicalId":125935,"journal":{"name":"2019 6th International Conference on Electric Vehicular Technology (ICEVT)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117121387","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 : 2019-11-01DOI: 10.1109/ICEVT48285.2019.8993864
Suwolo, H. Waloyo, M. Nizam, Ubaidillah, M. Putra
Vehicle generally require an optimal braking system, eddy current brake (ECB) can be used as an alternative to the conventional braking system. Unipolar Axial ECB was discussed in this paper. Performance of ECB is influenced by several factors, like the distance of the pole location to center of the shaft. In this paper will discuss performance of eddy current brake if the pole location is varied. Finite element method (FEM) based modeling are used to describe the eddy current change. Size and design of ECB are based on a conventional hydraulic braking system. The standard pole location will be similar to the brake pad on a conventional hydraulic braking system. It was found that some variations of the pole location affects the braking torque. It is because the eddy current turn path area become narrow on the rotor, thus affecting ECB performance.
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