TY - GEN
T1 - Energy Conservation by using the Integration of Distributed Energy System in Smart Vehicles
AU - Andreas, Andreou
AU - Mavromoustakis, Constandinos X.
AU - Mastorakis, George
AU - Batalla, Jordi Mongay
AU - Pallis, Evangelos
N1 - Funding Information:
ACKNOWLEDGEMENT Thisresearch okwasfunddbytwheSmartandHealthr e y Ageing through People Engaging in supporting Systems SHAPES project,which hasreceivedfundnfromtheig European Union’s Horizon 2020 research and innovation programme under grant agreement No 857159. The work of the Polish researcher has been funded by the Imminence: IntelligentManagementofnextgenerationMobIle Etworks aNd serviCEproject, which hasreceivedfunding from the s NationalCentre orResearch and DevfelopentinPolandm.
Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Energy conservation has been the concern of researchers in automobile engineering since the German inventor Karl Benz patented his Benz Patent-Motorwagen. We aim to contribute by developing the case of the independent distribution of energy between the wheels. Our goal is to enable the integration of smart panels in the suspension system for the interpretation of road irregularities. The innovation of this research work is based on the provision of an Artificial Intelligence (AI) system for intelligent vehicles that will allow the system to detect the road surface in terms of friction and inclination independently on each wheel. Hence, the vehicle's computer system will be able to provide exactly the energy required for torque Thus, energy consumption will be significantly reduced, while ensuring stability of operation. Through this research work, we propose a Pressure-Sensitive Panel to Vehicle (PSP2V) system in conjunction with digital fluid dynamics simulation. The implementation of the program is based on the solutions of the Navier-Stokes fluid flow equations. Our algorithm could run in real-time on PSPs and interact with the vehicle operating system. The objective is to distribute the appropriate energy between the wheels based on the torque required for proper operation, taking into account the pressure exerted by the road.
AB - Energy conservation has been the concern of researchers in automobile engineering since the German inventor Karl Benz patented his Benz Patent-Motorwagen. We aim to contribute by developing the case of the independent distribution of energy between the wheels. Our goal is to enable the integration of smart panels in the suspension system for the interpretation of road irregularities. The innovation of this research work is based on the provision of an Artificial Intelligence (AI) system for intelligent vehicles that will allow the system to detect the road surface in terms of friction and inclination independently on each wheel. Hence, the vehicle's computer system will be able to provide exactly the energy required for torque Thus, energy consumption will be significantly reduced, while ensuring stability of operation. Through this research work, we propose a Pressure-Sensitive Panel to Vehicle (PSP2V) system in conjunction with digital fluid dynamics simulation. The implementation of the program is based on the solutions of the Navier-Stokes fluid flow equations. Our algorithm could run in real-time on PSPs and interact with the vehicle operating system. The objective is to distribute the appropriate energy between the wheels based on the torque required for proper operation, taking into account the pressure exerted by the road.
KW - energy conservation
KW - energy consumption
KW - Internet of Things IoT
KW - Internet of Vehicles IoV
UR - http://www.scopus.com/inward/record.url?scp=85136090231&partnerID=8YFLogxK
U2 - 10.1109/ENERGYCON53164.2022.9830427
DO - 10.1109/ENERGYCON53164.2022.9830427
M3 - Conference contribution
AN - SCOPUS:85136090231
T3 - ENERGYCON 2022 - 2022 IEEE 7th International Energy Conference, Proceedings
BT - ENERGYCON 2022 - 2022 IEEE 7th International Energy Conference, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th IEEE International Energy Conference, ENERGYCON 2022
Y2 - 9 May 2022 through 12 May 2022
ER -