Most recent issue published online in the International Journal of Vehicle Systems Modelling and Testing.
International Journal of Vehicle Systems Modelling and Testing
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International Journal of Vehicle Systems Modelling and Testing
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International Journal of Vehicle Systems Modelling and Testing
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http://www.inderscience.com/browse/index.php?journalID=169&year=2024&vol=18&issue=1
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Design and development of a Formula Student electric racecar's control system
http://www.inderscience.com/link.php?id=136759
The Formula Student electric racecar 'Thunderblade 4.0' control system developed by Team Kratos Racing Electric at Pimpri Chinchwad Education Trust's Pimpri Chinchwad College of Engineering has undergone significant improvements. Implementing a centralised power distribution unit has resulted in notable wiring harness optimisation. The proposed work has also focused on enhancing the functionality of the circuits. The team incorporated wire fault detection circuits, advanced logic circuits, and test points to improve the vehicle's safety and reliability. In addition to these improvements, it has also incorporated software tools like the Saturn Printed Circuit Board Toolkit and Altium Designer Rule Wizard. These tools have enabled the team to develop better printed circuit board designs. Overall, the control system has successfully analysed the failures of the previous season and proposed solutions to ensure the development of a reliable and competitive vehicle. The control system components are described, and the initiative has achieved its objectives of weight optimisation, power delivery efficiency, and improved functionalities of the circuits.
Design and development of a Formula Student electric racecar's control system
Suvarna Kadam; Aman Gaonkar; Pranav Kolte; Chirag Kharche; Sheetal Bhandari; Pramod Sonawane; Prakash Sontakke; Niles Gaikwad; Manish Narkhede
International Journal of Vehicle Systems Modelling and Testing, Vol. 18, No. 1 (2024) pp. 1 - 32
The Formula Student electric racecar 'Thunderblade 4.0' control system developed by Team Kratos Racing Electric at Pimpri Chinchwad Education Trust's Pimpri Chinchwad College of Engineering has undergone significant improvements. Implementing a centralised power distribution unit has resulted in notable wiring harness optimisation. The proposed work has also focused on enhancing the functionality of the circuits. The team incorporated wire fault detection circuits, advanced logic circuits, and test points to improve the vehicle's safety and reliability. In addition to these improvements, it has also incorporated software tools like the Saturn Printed Circuit Board Toolkit and Altium Designer Rule Wizard. These tools have enabled the team to develop better printed circuit board designs. Overall, the control system has successfully analysed the failures of the previous season and proposed solutions to ensure the development of a reliable and competitive vehicle. The control system components are described, and the initiative has achieved its objectives of weight optimisation, power delivery efficiency, and improved functionalities of the circuits.]]>
10.1504/IJVSMT.2024.136759
International Journal of Vehicle Systems Modelling and Testing, Vol. 18, No. 1 (2024) pp. 1 - 32
Suvarna Kadam
Aman Gaonkar
Pranav Kolte
Chirag Kharche
Sheetal Bhandari
Pramod Sonawane
Prakash Sontakke
Niles Gaikwad
Manish Narkhede
Pimpri Chinchwad College of Engineering, Sector-26, Pune, 411044, India ' Pimpri Chinchwad College of Engineering, Sector-26, Pune, 411044, India ' Pimpri Chinchwad College of Engineering, Sector-26, Pune, 411044, India ' Pimpri Chinchwad College of Engineering, Sector-26, Pune, 411044, India ' Pimpri Chinchwad College of Engineering, Sector-26, Pune, 411044, India ' Pimpri Chinchwad College of Engineering, Sector-26, Pune, 411044, India ' Pimpri Chinchwad College of Engineering, Sector-26, Pune, 411044, India ' Pimpri Chinchwad College of Engineering, Sector-26, Pune, 411044, India ' Pimpri Chinchwad College of Engineering, Sector-26, Pune, 411044, India
electronics control unit
Formula Student electric racecar
Printed Circuit Board
design
safety circuits
STM32
2024-02-20T23:20:50-05:00
Copyright © 2024 Inderscience Enterprises Ltd.
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32
2024-02-20T23:20:50-05:00
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Modelling and simulation of energy management of power-split hybrid electric vehicles using the discrete EVent system specification
http://www.inderscience.com/link.php?id=136762
This work provides a basis for studying energy management optimisation in power-split hybrid electric vehicles (PSHEVs) to reduce fuel consumption and increase powertrain efficiency by enforcing a strategy related to battery level and vehicle speed. Three modes were used to operate the vehicle to meet different situations related to available energy and desired speed. These are particularly abundance mode, ascetic mode and optimal mode. For this, a system was designed based on several sub-models written in the discrete EVent system (DEVS) specification. The vehicle's power train and control strategy models were created in the DEVSimPy environment, and a joint simulation was carried out from the composite sub models until the overall model is reached. Simulation results under several driving cycles showed that the proposed system improves the energy consumption of the vehicle in different operating modes of the engines and gives more opportunities to adopt electric motors in vehicle transmission.
Modelling and simulation of energy management of power-split hybrid electric vehicles using the discrete EVent system specification
Abdelfettah Maatoug; Sahraoui Kharoubi; Moustafa Maaskri; Ghalem Belalem; Said Mahmoudi
International Journal of Vehicle Systems Modelling and Testing, Vol. 18, No. 1 (2024) pp. 33 - 61
This work provides a basis for studying energy management optimisation in power-split hybrid electric vehicles (PSHEVs) to reduce fuel consumption and increase powertrain efficiency by enforcing a strategy related to battery level and vehicle speed. Three modes were used to operate the vehicle to meet different situations related to available energy and desired speed. These are particularly abundance mode, ascetic mode and optimal mode. For this, a system was designed based on several sub-models written in the discrete EVent system (DEVS) specification. The vehicle's power train and control strategy models were created in the DEVSimPy environment, and a joint simulation was carried out from the composite sub models until the overall model is reached. Simulation results under several driving cycles showed that the proposed system improves the energy consumption of the vehicle in different operating modes of the engines and gives more opportunities to adopt electric motors in vehicle transmission.]]>
10.1504/IJVSMT.2024.136762
International Journal of Vehicle Systems Modelling and Testing, Vol. 18, No. 1 (2024) pp. 33 - 61
Abdelfettah Maatoug
Sahraoui Kharoubi
Moustafa Maaskri
Ghalem Belalem
Said Mahmoudi
Faculty of Applied Sciences, Science and Technology Department, University of Tiaret, Tiaret, 14000, Algeria ' Faculty of Mathematics and Computer Science, Computer Science Department, University of Tiaret, Tiaret, 14000, Algeria ' Faculty of Applied Sciences, Electrical Engineering Department, University of Tiaret, Tiaret, 14000, Algeria ' Faculty of Exact and Applied Sciences, Computer Science Department, University of Oran 1 Ahmed Ben Bella, Oran, 31000, Algeria ' Faculty of Engineering, Computer Science Department, University of Mons, Mons, 7000, Belgium
hybrid electric vehicle
energy management
control strategy
energy management system
modelling and simulation
DEVSimPy environment
2024-02-20T23:20:50-05:00
Copyright © 2024 Inderscience Enterprises Ltd.
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61
2024-02-20T23:20:50-05:00
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Modelling and simulation of an autonomous vehicle based on Alexnet for traffic sign recognition
http://www.inderscience.com/link.php?id=136760
This paper presents a study on an autonomous vehicle system capable of recognising and responding to traffic signs. Using the virtual robot experimentation platform (V-REP) virtual simulation system, a training dataset is generated for traffic sign recognition (TSR), employing a pre-trained AlexNet network. The vehicle model, integrated with the trained network, operates within the V-REP environment, supported by a vision-based control system. Driving scenarios are designed to assess the system's ability to interpret and respond to traffic signs without human intervention. Experimental validation confirms the effectiveness and reliability of the proposed system, showcasing its potential for real-world applications in autonomous vehicles with TSR capabilities.
Modelling and simulation of an autonomous vehicle based on Alexnet for traffic sign recognition
Chao Liu
International Journal of Vehicle Systems Modelling and Testing, Vol. 18, No. 1 (2024) pp. 62 - 77
This paper presents a study on an autonomous vehicle system capable of recognising and responding to traffic signs. Using the virtual robot experimentation platform (V-REP) virtual simulation system, a training dataset is generated for traffic sign recognition (TSR), employing a pre-trained AlexNet network. The vehicle model, integrated with the trained network, operates within the V-REP environment, supported by a vision-based control system. Driving scenarios are designed to assess the system's ability to interpret and respond to traffic signs without human intervention. Experimental validation confirms the effectiveness and reliability of the proposed system, showcasing its potential for real-world applications in autonomous vehicles with TSR capabilities.]]>
10.1504/IJVSMT.2024.136760
International Journal of Vehicle Systems Modelling and Testing, Vol. 18, No. 1 (2024) pp. 62 - 77
Abdelfettah Maatoug
Sahraoui Kharoubi
Moustafa Maaskri
Ghalem Belalem
Said Mahmoudi
School of Physics and Mechatronic Engineering, Guizhou Minzu University, Guiyang, 550025, Guizhou, China
autonomous vehicle
TSR
traffic sign recognition
V-REP virtual simulation system
AlexNet
2024-02-20T23:20:50-05:00
Copyright © 2024 Inderscience Enterprises Ltd.
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1
62
77
2024-02-20T23:20:50-05:00
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Finite element modelling and simulation of car bonnet's crashworthiness parameters for pedestrian safety
http://www.inderscience.com/link.php?id=136761
Pedestrians face heightened vulnerability in car accidents, often experiencing head injuries with severe consequences. The car bonnet emerges as a critical point of contact in these incidents, necessitating the development of assessment parameters like the head injury criterion (HIC), energy absorption, and total deformation to gauge head injury risk. Material selection for automobile closures considers factors like cost, weight, and structural performance. Complying with pedestrian safety standards, evaluated through child and adult headform impactors, is imperative for vehicle bonnets. This study introduces a novel finite element model replicating head impact events between headform impactors and car bonnets. Analysing three identical bonnets made of steel and aluminium alloys (AA 5252 and AA 6061) using this model reveals that while the AA 5252 bonnet exhibits lower energy absorption, it offers greater protection with significantly fewer HICs compared to steel and AA 6061. The findings underscore the weight-protection performance trade-off in different material bonnets.
Finite element modelling and simulation of car bonnet's crashworthiness parameters for pedestrian safety
K.S. Neeraj; Sumukha Rao S. Salanke; S.S. Tejas; S.R. Sudhansh; Mantesh Basappa Khot
International Journal of Vehicle Systems Modelling and Testing, Vol. 18, No. 1 (2024) pp. 78 - 95
Pedestrians face heightened vulnerability in car accidents, often experiencing head injuries with severe consequences. The car bonnet emerges as a critical point of contact in these incidents, necessitating the development of assessment parameters like the head injury criterion (HIC), energy absorption, and total deformation to gauge head injury risk. Material selection for automobile closures considers factors like cost, weight, and structural performance. Complying with pedestrian safety standards, evaluated through child and adult headform impactors, is imperative for vehicle bonnets. This study introduces a novel finite element model replicating head impact events between headform impactors and car bonnets. Analysing three identical bonnets made of steel and aluminium alloys (AA 5252 and AA 6061) using this model reveals that while the AA 5252 bonnet exhibits lower energy absorption, it offers greater protection with significantly fewer HICs compared to steel and AA 6061. The findings underscore the weight-protection performance trade-off in different material bonnets.]]>
10.1504/IJVSMT.2024.136761
International Journal of Vehicle Systems Modelling and Testing, Vol. 18, No. 1 (2024) pp. 78 - 95
K.S. Neeraj
Sumukha Rao S. Salanke
S.S. Tejas
S.R. Sudhansh
Mantesh Basappa Khot
Department of Mechanical Engineering, PES University, Bangalore-560085, Karnataka, India ' Department of Mechanical Engineering, PES University, Bangalore-560085, Karnataka, India ' Department of Mechanical Engineering, PES University, Bangalore-560085, Karnataka, India ' Department of Mechanical Engineering, PES University, Bangalore-560085, Karnataka, India ' Department of Mechanical Engineering, PES University, Bangalore-560085, Karnataka, India
crashworthiness
finite element modelling
energy absorption
deformation
HIC
head injury criteria
2024-02-20T23:20:50-05:00
Copyright © 2024 Inderscience Enterprises Ltd.
18
1
78
95
2024-02-20T23:20:50-05:00