Pub Date : 2019-11-01DOI: 10.1109/ICEVT48285.2019.8993992
Y. Y. Nazaruddin, F. A. Ma'ani, Prasetyo W. L. Sanjaya, Eraraya R. Muten, Gilbert Tjahjono, Joshua A. Oktavianus
The combination of the Inertial Measurement Unit (IMU) and Global Navigation Satellite System (GNSS) is widely used in the localization of autonomous cars. However, GNSS is highly dependent on external conditions and has a low sampling rate. In order to make the localization of autonomous cars more reliable in various external conditions, a virtual sensing system using Error-state Kalman Filter (ESKF) and Diagonal Recurrent Neural Network (DRNN) approach is proposed in this paper. In this proposed system, DRNN served as a predictor for the location of an autonomous car. DRNN is applied due to its independency against the external conditions, the ability to learn, and also its faster sampling rate compared to the global navigation system. Implementation and testing of this new approach using the CARLA Simulator show that the proposed system could correct the deviation caused by the absence of absolute position measurement. With further developments and improvements, this alternative sensing method would be able to replace the existing GNSS and unlock the possibility for offline localization.
{"title":"Localization Method for Autonomous Car Using Virtual Sensing System","authors":"Y. Y. Nazaruddin, F. A. Ma'ani, Prasetyo W. L. Sanjaya, Eraraya R. Muten, Gilbert Tjahjono, Joshua A. Oktavianus","doi":"10.1109/ICEVT48285.2019.8993992","DOIUrl":"https://doi.org/10.1109/ICEVT48285.2019.8993992","url":null,"abstract":"The combination of the Inertial Measurement Unit (IMU) and Global Navigation Satellite System (GNSS) is widely used in the localization of autonomous cars. However, GNSS is highly dependent on external conditions and has a low sampling rate. In order to make the localization of autonomous cars more reliable in various external conditions, a virtual sensing system using Error-state Kalman Filter (ESKF) and Diagonal Recurrent Neural Network (DRNN) approach is proposed in this paper. In this proposed system, DRNN served as a predictor for the location of an autonomous car. DRNN is applied due to its independency against the external conditions, the ability to learn, and also its faster sampling rate compared to the global navigation system. Implementation and testing of this new approach using the CARLA Simulator show that the proposed system could correct the deviation caused by the absence of absolute position measurement. With further developments and improvements, this alternative sensing method would be able to replace the existing GNSS and unlock the possibility for offline localization.","PeriodicalId":125935,"journal":{"name":"2019 6th International Conference on Electric Vehicular Technology (ICEVT)","volume":"145 3 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":"117281195","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/ICEVT48285.2019.8994012
M. Islameka, Irsyad Nashirul Haq, E. Leksono, B. Yuliarto
The Indonesian government plans to change the Transjakarta bus into an electric bus. Therefore, we analyze the energy consumption of rear-drive electric buses with regenerative braking to estimate the specifications of the electric motor and the batteries needed for one cycle of driving. BYD C6 and ITB electric buses will be compared using the driving cycle in the Transjakarta corridor 1 (Kota—Blok M). Transjakarta corridor 1 driving cycle data is collected several times to get varied driving cycles. The electric bus energy consumption model was created using Matlab/Simulink. The simulation is conducted by using the data bus specifications of BYD C6 and ITB. The results show that BYD C6 electric buses have more SOC battery remaining in one cycle of driving due to a larger amount of battery charge. However, ITB electric bus can recover more energy from the regenerative braking system due to the larger motor specifications.
{"title":"Energy Consumption Simulation and Analysis of Rear-Driven Electric Bus with Regenerative Braking","authors":"M. Islameka, Irsyad Nashirul Haq, E. Leksono, B. Yuliarto","doi":"10.1109/ICEVT48285.2019.8994012","DOIUrl":"https://doi.org/10.1109/ICEVT48285.2019.8994012","url":null,"abstract":"The Indonesian government plans to change the Transjakarta bus into an electric bus. Therefore, we analyze the energy consumption of rear-drive electric buses with regenerative braking to estimate the specifications of the electric motor and the batteries needed for one cycle of driving. BYD C6 and ITB electric buses will be compared using the driving cycle in the Transjakarta corridor 1 (Kota—Blok M). Transjakarta corridor 1 driving cycle data is collected several times to get varied driving cycles. The electric bus energy consumption model was created using Matlab/Simulink. The simulation is conducted by using the data bus specifications of BYD C6 and ITB. The results show that BYD C6 electric buses have more SOC battery remaining in one cycle of driving due to a larger amount of battery charge. However, ITB electric bus can recover more energy from the regenerative braking system due to the larger motor specifications.","PeriodicalId":125935,"journal":{"name":"2019 6th International Conference on Electric Vehicular Technology (ICEVT)","volume":"129 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":"126461783","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/ICEVT48285.2019.8993979
T. Tamba, Y. Y. Nazaruddin
This paper studies a formation control problem in communication-based train control (CBTC) implementation under an event-triggered control scheduling framework using the formalism of input-to-state stability (ISS) property. The examined control objective that is considered in this paper is that of guaranteeing the boundedness of the resulting inter-train safe distance with respect to variation on some predefined reference distance and speed profiles. Using the fundamental ISS property of event-triggered control scheduling implementation, this paper shows that the resulting event-triggered CBTC system implementation can be guranteed to be ISS with respect to the reference movement (inter trains safe distance and velocity) profiles provided that the used event-triggered parameter satisfies a particular inequality.
{"title":"An Input-to-State Stable Implementation of Event-Triggered CBTC","authors":"T. Tamba, Y. Y. Nazaruddin","doi":"10.1109/ICEVT48285.2019.8993979","DOIUrl":"https://doi.org/10.1109/ICEVT48285.2019.8993979","url":null,"abstract":"This paper studies a formation control problem in communication-based train control (CBTC) implementation under an event-triggered control scheduling framework using the formalism of input-to-state stability (ISS) property. The examined control objective that is considered in this paper is that of guaranteeing the boundedness of the resulting inter-train safe distance with respect to variation on some predefined reference distance and speed profiles. Using the fundamental ISS property of event-triggered control scheduling implementation, this paper shows that the resulting event-triggered CBTC system implementation can be guranteed to be ISS with respect to the reference movement (inter trains safe distance and velocity) profiles provided that the used event-triggered parameter satisfies a particular inequality.","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":"115100978","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/ICEVT48285.2019.8993987
M. Putra, M. Nizam, D. Tjahjana, H. Waloyo
Braking system by using friction is critical in electric vehicles. However, the use of excessive friction will cause a decrease in braking performance. One alternative solution is to use the Eddy current braking system (ECB). ECB is a braking system that utilizes eddy currents generated by induction when the rotor rotates due to the magnetic field produced by the stator. This study discusses the use of ECB for electric motorcycle disk braking systems. This study aims to determine the effect of air gap on braking performance of ECB on an electric motor. The finite element (FEM) method was used in ECB performance modeling. The results showed that the need for a combination of motorcycle disks with disks that match the ECB with maximum torque at 12Nm. It can be concluded that using ECB can effectively increase the braking power by reducing friction on the braking disk. It means the ECB system can extend the life of the braking disc.
{"title":"The Effect of Air Gap on Braking Performance of Eddy Current Brakes on Electric Vehicle Braking System","authors":"M. Putra, M. Nizam, D. Tjahjana, H. Waloyo","doi":"10.1109/ICEVT48285.2019.8993987","DOIUrl":"https://doi.org/10.1109/ICEVT48285.2019.8993987","url":null,"abstract":"Braking system by using friction is critical in electric vehicles. However, the use of excessive friction will cause a decrease in braking performance. One alternative solution is to use the Eddy current braking system (ECB). ECB is a braking system that utilizes eddy currents generated by induction when the rotor rotates due to the magnetic field produced by the stator. This study discusses the use of ECB for electric motorcycle disk braking systems. This study aims to determine the effect of air gap on braking performance of ECB on an electric motor. The finite element (FEM) method was used in ECB performance modeling. The results showed that the need for a combination of motorcycle disks with disks that match the ECB with maximum torque at 12Nm. It can be concluded that using ECB can effectively increase the braking power by reducing friction on the braking disk. It means the ECB system can extend the life of the braking disc.","PeriodicalId":125935,"journal":{"name":"2019 6th International Conference on Electric Vehicular Technology (ICEVT)","volume":"7 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":"130767935","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/ICEVT48285.2019.8993983
Vicky Mudeng, Yun Tonce Kusuma Priyanto, H. Wicaksono, Vicky Andria Kusuma, M. Muntaha
Cockroft-Walton (CW) is a voltage multiplier (VM) circuit with an alternating current (AC) input to generate a direct current (DC) output. The CW circuit consists of several stages. Each stage, there are two diodes and capacitors to shift the AC input to be DC output. The maximum output of CW is the multiplication of two and number of stages, then the multiplied result times the peak voltage of AC input to obtain the DC voltage. However, the DC output contains ripple voltage. Therefore, the work within this study discusses five stages CWVM to ensure that it can effective as a power supply for the electric vehicle. We develop CWVM with the output of the multiplication between two and input peak voltage. To reduce the ripple voltage, we implement a capacitor filter in the simulation for verifying the results. Also, we simulate the output voltage by considering the results for each stage. The results indicate that the developed CWVM is reasonable to be a power supply for the electric vehicle.
{"title":"Design of Five Stages Cockroft-Walton with Passive Filter","authors":"Vicky Mudeng, Yun Tonce Kusuma Priyanto, H. Wicaksono, Vicky Andria Kusuma, M. Muntaha","doi":"10.1109/ICEVT48285.2019.8993983","DOIUrl":"https://doi.org/10.1109/ICEVT48285.2019.8993983","url":null,"abstract":"Cockroft-Walton (CW) is a voltage multiplier (VM) circuit with an alternating current (AC) input to generate a direct current (DC) output. The CW circuit consists of several stages. Each stage, there are two diodes and capacitors to shift the AC input to be DC output. The maximum output of CW is the multiplication of two and number of stages, then the multiplied result times the peak voltage of AC input to obtain the DC voltage. However, the DC output contains ripple voltage. Therefore, the work within this study discusses five stages CWVM to ensure that it can effective as a power supply for the electric vehicle. We develop CWVM with the output of the multiplication between two and input peak voltage. To reduce the ripple voltage, we implement a capacitor filter in the simulation for verifying the results. Also, we simulate the output voltage by considering the results for each stage. The results indicate that the developed CWVM is reasonable to be a power supply for the electric vehicle.","PeriodicalId":125935,"journal":{"name":"2019 6th International Conference on Electric Vehicular Technology (ICEVT)","volume":"108 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":"132950314","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/ICEVT48285.2019.8993967
O. Kurdi, I. Haryanto, I. Yulianti, D. Satrijo, A. Suprihanto, I. Taufiqurrahman
This work presents analysis of side-collision effect to e-bus frame based on ECE R95. In this study, a side crash simulation was carried out on the frame structure of a medium-sized electric bus. The analysis was done using finite element method (FEM) employing an open-source software RADIOS. The simulation was done for the existing frame design with steel as the material (JIS 3445 STKM 13A). The results shows that the bus frame with mass of 2456 Kg experience displacement of 96.72 mm and stress of 215.5 MPa.
{"title":"Side Collision Dynamic Analysis of Electric Bus Frame using Finite Element Method","authors":"O. Kurdi, I. Haryanto, I. Yulianti, D. Satrijo, A. Suprihanto, I. Taufiqurrahman","doi":"10.1109/ICEVT48285.2019.8993967","DOIUrl":"https://doi.org/10.1109/ICEVT48285.2019.8993967","url":null,"abstract":"This work presents analysis of side-collision effect to e-bus frame based on ECE R95. In this study, a side crash simulation was carried out on the frame structure of a medium-sized electric bus. The analysis was done using finite element method (FEM) employing an open-source software RADIOS. The simulation was done for the existing frame design with steel as the material (JIS 3445 STKM 13A). The results shows that the bus frame with mass of 2456 Kg experience displacement of 96.72 mm and stress of 215.5 MPa.","PeriodicalId":125935,"journal":{"name":"2019 6th International Conference on Electric Vehicular Technology (ICEVT)","volume":"50 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":"114684364","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/ICEVT48285.2019.8993966
Fadhlin Nugraha Rismi, Irsyad Nashirul Haq, E. Leksono, F. Soelami
In this study, an investigation of thermal characteristics was carried out at two stages namely, the experimental stage and the simulation and modeling stage. In the experimental stage, the battery consists of 1 cell with a capacity of 14Ah. At the experimental stage, the battery under investigation works at the discharge currents C1, C2, and C4, with natural convection studies in insulation and non-insulation systems. The assumptions used in this study are the battery used have experienced more than 10 cycles, the heat radiation from the battery is ignored, the parameters and thermal constants are considered constant. The ambient temperature range for operation is at 24°C – 28,5°C. Experimental results show that the battery system under insulation conditions has more stable thermal characteristics compared to non-insulation systems. As well as the results of the simulation stage 1 battery cell under conditions of insulation and non-insulation. In addition, estiomation were also made for the 10 battery insulation system. The temperature rise characteristic shows an exponential graph on all simulations performed. By evaluating the measurement values in the experimental and simulation stages, the results of the non-insulation conditions show an error for the C1 discharging current of 1,77%, C2 of 1,97%, and C4 of 0,38%. The results of insulation conditions show an error for the C1 emptying current of 1,10%, C2 of 0,53%, and C4 of 0,05%.
{"title":"Battery Thermal Characteristics Estimation Using Finite Element Method","authors":"Fadhlin Nugraha Rismi, Irsyad Nashirul Haq, E. Leksono, F. Soelami","doi":"10.1109/ICEVT48285.2019.8993966","DOIUrl":"https://doi.org/10.1109/ICEVT48285.2019.8993966","url":null,"abstract":"In this study, an investigation of thermal characteristics was carried out at two stages namely, the experimental stage and the simulation and modeling stage. In the experimental stage, the battery consists of 1 cell with a capacity of 14Ah. At the experimental stage, the battery under investigation works at the discharge currents C1, C2, and C4, with natural convection studies in insulation and non-insulation systems. The assumptions used in this study are the battery used have experienced more than 10 cycles, the heat radiation from the battery is ignored, the parameters and thermal constants are considered constant. The ambient temperature range for operation is at 24°C – 28,5°C. Experimental results show that the battery system under insulation conditions has more stable thermal characteristics compared to non-insulation systems. As well as the results of the simulation stage 1 battery cell under conditions of insulation and non-insulation. In addition, estiomation were also made for the 10 battery insulation system. The temperature rise characteristic shows an exponential graph on all simulations performed. By evaluating the measurement values in the experimental and simulation stages, the results of the non-insulation conditions show an error for the C1 discharging current of 1,77%, C2 of 1,97%, and C4 of 0,38%. The results of insulation conditions show an error for the C1 emptying current of 1,10%, C2 of 0,53%, and C4 of 0,05%.","PeriodicalId":125935,"journal":{"name":"2019 6th International Conference on Electric Vehicular Technology (ICEVT)","volume":"15 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":"128573205","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/ICEVT48285.2019.8994016
A. H. Masyhur, Ignatius Pulung Nurprasetio, B. Budiman, Arya Adhinugraha, Arista Eka Putra
Commercial freight vehicle is essential for daily goods distribution from one place to another. It is quite common that freight operators load their trucks beyond the allowable weight limit to maximize profit. This behavior leads to deterioration of road surface in Indonesia, which significantly increases road maintenance cost. To remedy the situation, anterior strategy would be to provide overload prevention device, while posterior strategy should measure vehicle weight while it is moving and detect the overloaded vehicle. This paper deals with the first strategy, in which a bluetooth-based wireless strain measuring system is developed. The main subsystem which consisted of strain gauge, Wheatstone bridge, Arduino Uno plus strain amplifier and Bluetooth modules, is placed on the load picking component of the vehicle, while additional subsystem consisted of Arduino Uno plus Bluetooth module and relays, is attached to the ignition wiring. Laboratory experiment showed that the system works and the design achieved the intended purpose, in the sense that it will cut engine power supply and trigger the alarm when the vehicle is overloaded. As a future work, we will install the system in a real freight vehicle to observe the performance of the system in an actual situation.
商业货运车辆是日常物品从一地运送到另一地的必要工具。这是相当普遍的货运经营者装载他们的卡车超过允许的重量限制，以最大限度地提高利润。这种行为导致印尼的路面恶化，大大增加了道路维护成本。为了纠正这种情况，前路策略是提供超载预防装置，后路策略是在车辆移动时测量车辆重量并检测超载车辆。本文研究的是第一种策略，即基于蓝牙的无线应变测量系统。主子系统由应变计、惠斯通电桥、Arduino Uno +应变放大器和蓝牙模块组成，安装在车辆的负载拾取组件上，副子系统由Arduino Uno +蓝牙模块和继电器组成，安装在点火接线上。实验室实验表明，该系统工作正常，设计达到了预期目的，即当车辆超载时切断发动机电源并触发报警。作为未来的工作，我们将在一辆真实的货运车上安装该系统，以观察系统在实际情况下的性能。
{"title":"Prototyping of Bluetooth-Based Wireless Strain Measurement System for Freight Overload Prevention","authors":"A. H. Masyhur, Ignatius Pulung Nurprasetio, B. Budiman, Arya Adhinugraha, Arista Eka Putra","doi":"10.1109/ICEVT48285.2019.8994016","DOIUrl":"https://doi.org/10.1109/ICEVT48285.2019.8994016","url":null,"abstract":"Commercial freight vehicle is essential for daily goods distribution from one place to another. It is quite common that freight operators load their trucks beyond the allowable weight limit to maximize profit. This behavior leads to deterioration of road surface in Indonesia, which significantly increases road maintenance cost. To remedy the situation, anterior strategy would be to provide overload prevention device, while posterior strategy should measure vehicle weight while it is moving and detect the overloaded vehicle. This paper deals with the first strategy, in which a bluetooth-based wireless strain measuring system is developed. The main subsystem which consisted of strain gauge, Wheatstone bridge, Arduino Uno plus strain amplifier and Bluetooth modules, is placed on the load picking component of the vehicle, while additional subsystem consisted of Arduino Uno plus Bluetooth module and relays, is attached to the ignition wiring. Laboratory experiment showed that the system works and the design achieved the intended purpose, in the sense that it will cut engine power supply and trigger the alarm when the vehicle is overloaded. As a future work, we will install the system in a real freight vehicle to observe the performance of the system in an actual situation.","PeriodicalId":125935,"journal":{"name":"2019 6th International Conference on Electric Vehicular Technology (ICEVT)","volume":"68 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":"121317860","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/ICEVT48285.2019.8994020
Muhammad Rizalul Wahid, E. Joelianto, Nadana Ayzah Azis
Switched reluctance motor (SRM) as a driving force has a very important role in an electric vehicle because of the ability to produce large torque about 12.3 Nm and speed about 9600 rpm. Currently, there is no suitable model that represents the real SRM motor. This paper presents model identification of the SRM motor using the Black Box method in the Matlab System Identification Toolbox (SIT). The speed output of the SRM motor is measured externally by a sensor based on the hall effect principle, which gives a high pulse of 4.27 volts every detection of an existing magnet at the motor rotation. The speed sensor of motor is simulated and validated using the Intelligent Schematic Input System (ISIS) software on the Proteus before it is implemented into the SRM motor. The results are obtained in the form of transfer function system with order 1 and order 2. The first order and second order models result in 93.65% and 93.7% approximation to the real data respectively.
{"title":"System Identification of Switched Reluctance Motor (SRM) Using Black Box Method for Electric Vehicle Speed Control System","authors":"Muhammad Rizalul Wahid, E. Joelianto, Nadana Ayzah Azis","doi":"10.1109/ICEVT48285.2019.8994020","DOIUrl":"https://doi.org/10.1109/ICEVT48285.2019.8994020","url":null,"abstract":"Switched reluctance motor (SRM) as a driving force has a very important role in an electric vehicle because of the ability to produce large torque about 12.3 Nm and speed about 9600 rpm. Currently, there is no suitable model that represents the real SRM motor. This paper presents model identification of the SRM motor using the Black Box method in the Matlab System Identification Toolbox (SIT). The speed output of the SRM motor is measured externally by a sensor based on the hall effect principle, which gives a high pulse of 4.27 volts every detection of an existing magnet at the motor rotation. The speed sensor of motor is simulated and validated using the Intelligent Schematic Input System (ISIS) software on the Proteus before it is implemented into the SRM motor. The results are obtained in the form of transfer function system with order 1 and order 2. The first order and second order models result in 93.65% and 93.7% approximation to the real data respectively.","PeriodicalId":125935,"journal":{"name":"2019 6th International Conference on Electric Vehicular Technology (ICEVT)","volume":"107 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":"123304182","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/ICEVT48285.2019.8993963
C. Kusuma, B. Budiman, I. P. Nurprasetio
The battery state of charge and energy consumption are two parameters which are characterized by the usage of an extended-range electric vehicle (EREV). Those two parameters should be simulated in order to design the EREV properly according to different design needs, therefore a simulation method is needed. This work tries to establish a simulation method for the simulation of EREV battery state of charge and energy consumption. The EREV propulsion system modeling required for the simulation method are obtained from the general and electric vehicle engineering. Driving cycle data is also involved in the simulation. After the simulation method has been established, this work also validates the established simulation method with two validation methods. The validation step shows that the established simulation method is able to produce satisfying energy consumption simulation results. However, this simulation method needs to be provided with data and modeling, which comply with the simulated EREV, in order to produce a more satisfying battery state of charge simulation result. This work offers an initial perspective of EREV simulation, especially for the battery state of charge and energy consumption. The established simulation method can hopefully contribute to the design process of EREVs in the future.
{"title":"Simulation Method for Extended-Range Electric Vehicle Battery State of Charge and Energy Consumption Simulation based on Driving Cycle","authors":"C. Kusuma, B. Budiman, I. P. Nurprasetio","doi":"10.1109/ICEVT48285.2019.8993963","DOIUrl":"https://doi.org/10.1109/ICEVT48285.2019.8993963","url":null,"abstract":"The battery state of charge and energy consumption are two parameters which are characterized by the usage of an extended-range electric vehicle (EREV). Those two parameters should be simulated in order to design the EREV properly according to different design needs, therefore a simulation method is needed. This work tries to establish a simulation method for the simulation of EREV battery state of charge and energy consumption. The EREV propulsion system modeling required for the simulation method are obtained from the general and electric vehicle engineering. Driving cycle data is also involved in the simulation. After the simulation method has been established, this work also validates the established simulation method with two validation methods. The validation step shows that the established simulation method is able to produce satisfying energy consumption simulation results. However, this simulation method needs to be provided with data and modeling, which comply with the simulated EREV, in order to produce a more satisfying battery state of charge simulation result. This work offers an initial perspective of EREV simulation, especially for the battery state of charge and energy consumption. The established simulation method can hopefully contribute to the design process of EREVs in the future.","PeriodicalId":125935,"journal":{"name":"2019 6th International Conference on Electric Vehicular Technology (ICEVT)","volume":"55 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":"115924297","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}
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