scholarly journals Communication energy optimization of electric vehicle platoon on curved road

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Wei Gao ◽  
Chunrong Peng ◽  
Wugedele Bao ◽  
Celimuge Wu
Keyword(s):  
Energy Consumption ◽  
Electric Vehicle ◽  
Communication Systems ◽  
Energy Optimization ◽  
Energy Systems ◽  
Curvature Radius ◽  
Optimization Scheme ◽  
Distance Error ◽  
Control Schemes ◽  
Vehicle Platoon

AbstractThe cruising range of an electric vehicle is limited by its battery. Reducing the energy consumption of MES (main energy systems) or AES (auxiliary energy systems) of the vehicle battery is an effective means to increase the electric vehicle cruising range. Platoon driving can greatly reduce the wind resistance of the vehicle and then reduce the energy consumption of MES for electric vehicles. This paper proposes an adaptive communication energy optimization scheme based on road curvature radius to save the energy of AES for the electric vehicle platoon on curved roads. In this paper, the inter-vehicle distance error based on the car-like model in a two-dimensional space is established. Then, the inter-vehicle distance error is used to design a control law K to accomplish successful platooning. Next, three platooning control schemes based on different information flow topologies are discussed. Finally, the consensus of three platooning control schemes and the energy consumption of electric vehicle communication systems are analyzed by MATLAB’s Simulink. Simulation results show that the communication energy optimization scheme reduces the power consumption of AES as long as the platoon driving on curved roads.

scholarly journals Communication Energy Optimization of Electric Vehicle Platoon on Curved Road

2021 ◽  
Author(s):  
Wei Gao ◽  
Celimuge Wu
Keyword(s):  
Energy Consumption ◽  
Electric Vehicle ◽  
Communication Systems ◽  
Energy Optimization ◽  
Energy Systems ◽  
Curvature Radius ◽  
Optimization Scheme ◽  
Distance Error ◽  
Control Schemes ◽  
Vehicle Platoon

Abstract The cruising range of an electric vehicle is limited by its battery. Reducing the energy consumption of MES (main energy systems) or AES (auxiliary energy systems) of the vehicle battery is an effective means to increase the electric vehicle cruising range. Platoon driving can greatly reduce the wind resistance of the vehicle and then reduce the energy consumption of MES for electric vehicles. This paper proposes an adaptive communication energy optimization scheme based on road curvature radius to save the energy of AES for the electric vehicle platoon on curved roads. In this paper, the inter-vehicle distance error based on the car-like model in a two-dimensional space is established. Then, the inter-vehicle distance error is used to design a control law K to accomplish successful platooning. Next, three platooning control schemes based on different information flow topologies are discussed. Finally, the consensus of three platooning control schemes and the energy consumption of electric vehicle communication systems are analyzed by MATLAB's Simulink. Simulation results show that the communication energy optimization scheme reduces the power consumption of AES as long as the platoon driving on curved roads.

Mathematical Model of Eco-Driving for Energy Optimization for Electric Vehicle

2012 ◽  
Vol 165 ◽  
pp. 114-119 ◽  
Author(s):  
Md M. Ridzuan ◽  
A. Alias ◽  
Nik N.I. Rumzi
Keyword(s):  
Mathematical Model ◽  
Energy Consumption ◽  
Electric Vehicle ◽  
Vehicle Dynamics ◽  
Energy Optimization ◽  
Battery Management System ◽  
Battery Management ◽  
Contributing Factors ◽  
Propulsion Performance ◽  
Develop Algorithm

This is a preliminary research in energy optimization system (ENOS) for Electric Vehicle (EV) whereby eco-driving is one of the solutions. Eco-driving initiative is not only benefit to the environment by optimizing the energy consumption but also enhancing the propulsion performance of Electric Vehicle. The efforts to reduce energy consumption could be achieved directly by studying contributing factors from the propulsion characteristic and the behavior of the vehicle dynamics (longitudinal vehicle dynamics in particular). We derived a single expression to describe energy consumption which could be programmed as the eco-driving algorithm. The expression is started by developing sets of equation of motions of longitudinal vehicle dynamics and relates them with the propulsion behavior that includes the counter-force by the traction torque and battery management system for Electric Vehicle. This mathematical model is established to analyze the energy consumption which shows the parameters that are important in the strategy to acquire the optimal performance and efficiency. This whole effort is part of the strategy to develop algorithm for eco-driving program.

Analysis of Energy Consumption in an Electric Vehicle through Virtual Reality Set-Up

2020 ◽  
Author(s):  
Marika Lamanuzzi ◽  
Jacopo Andrea Di Antonio ◽  
Federica Foiadelli ◽  
Michela Longo ◽  
Andrea Labombarda ◽  
...  
Keyword(s):  
Virtual Reality ◽  
Energy Consumption ◽  
Electric Vehicle ◽  
Set Up

scholarly journals Energy Saving Quantitative Analysis of Passive, Active, and Renewable Technologies in Different Climate Zones

2021 ◽  
Vol 11 (15) ◽  
pp. 7115
Author(s):  
Chul-Ho Kim ◽  
Min-Kyeong Park ◽  
Won-Hee Kang
Keyword(s):  
Renewable Energy ◽  
Energy Consumption ◽  
Energy Saving ◽  
High Performance ◽  
Energy Systems ◽  
Outdoor Air ◽  
Climate Zones ◽  
Renewable Energy Systems ◽  
Active Systems ◽  
High Performance Buildings

The purpose of this study was to provide a guideline for the selection of technologies suitable for ASHRAE international climate zones when designing high-performance buildings. In this study, high-performance technologies were grouped as passive, active, and renewable energy systems. Energy saving technologies comprising 15 cases were categorized into passive, active, and renewable energy systems. EnergyPlus v9.5.0 was used to analyze the contribution of each technology in reducing the primary energy consumption. The energy consumption of each system was analyzed in different climates (Incheon, New Delhi, Minneapolis, Berlin), and the detailed contributions to saving energy were evaluated. Even when the same technology is applied, the energy saving rate differs according to the climatic characteristics. Shading systems are passive systems that are more effective in hot regions. In addition, the variable air volume (VAV) system, combined VAV–energy recovery ventilation (ERV), and combined VAV–underfloor air distribution (UFAD) are active systems that can convert hot and humid outdoor temperatures to create comfortable indoor environments. In cold and cool regions, passive systems that prevent heat loss, such as high-R insulation walls and windows, are effective. Active systems that utilize outdoor air or ventilation include the combined VAV-economizer, the active chilled beam with dedicated outdoor air system (DOAS), and the combined VAV-ERV. For renewable energy systems, the ground source heat pump (GSHP) is more effective. Selecting energy saving technologies that are suitable for the surrounding environment, and selecting design strategies that are appropriate for a given climate, are very important for the design of high-performance buildings globally.

Electric Vehicle Energy Consumption Simulation by Modeling the Efficiency of Driveline Components

2016 ◽  
Vol 9 (1) ◽  
pp. 31-39 ◽  
Author(s):  
Mohammad Gerami Tehrani ◽  
Juuso Kelkka ◽  
Jussi Sopanen ◽  
Aki Mikkola ◽  
Kimmo Kerkkänen
Keyword(s):  
Energy Consumption ◽  
Electric Vehicle ◽  
Energy Consumption Simulation

Frequency and inertia response effects, capabilities, and possibilities in renewable energy sources

2021 ◽  
Vol 14 ◽  
Author(s):  
Jishu Mary Gomez ◽  
Prabhakar Karthikeyan Shanmugam
Keyword(s):  
Renewable Energy ◽  
Power System ◽  
Frequency Control ◽  
Renewable Energy Sources ◽  
Energy Systems ◽  
Load Shedding ◽  
System Stability ◽  
Frequency Regulation ◽  
Control Schemes ◽  
Inertia Response

Background & Objectives: The global power system is in a state of continuous evolution, incorporating more and more renewable energy systems. The converter-based systems are void of inherent inertia control behavior and are unable to curb minor frequency deviations. The traditional power system, on the other hand, is made up majorly of synchronous generators that have their inertia and governor response for frequency control. For improved inertial and primary frequency response, the existing frequency control methods need to be modified and an additional power reserve is to be maintained mandatorily for this purpose. Energy self-sufficient renewable distributed generator systems can be made possible through optimum active power control techniques. Also, when major global blackouts were analyzed for causes, solutions, and precautions, load shedding techniques were found to be a useful tool to prevent frequency collapse due to power imbalances. The pre-existing load shedding techniques were designed for traditional power systems and were tuned to eliminate low inertia generators as the first step to system stability restoration. To incorporate emerging energy possibilities, the changes in the mixed power system must be addressed and new frequency control capabilities of these systems must be researched. Discussion: In this paper, the power reserve control schemes that enable frequency regulation in the widely incorporated solar photovoltaic and wind turbine generating systems are discussed. Techniques for Under Frequency Load Shedding (UFLS) that can be effectively implemented in renewable energy enabled micro-grid environment for frequency regulation are also briefly discussed. The paper intends to study frequency control schemes and technologies that promote the development of self- sustaining micro-grids. Conclusion: The area of renewable energy research is fast emerging with immense scope for future developments. The comprehensive literature study confirms the possibilities of frequency and inertia response enhancement through optimum energy conservation and control of distributed energy systems.

Developing an electric vehicle urban driving cycle to study differences in energy consumption

2018 ◽  
Vol 26 (14) ◽  
pp. 13839-13853 ◽  
Author(s):  
Xuan Zhao ◽  
Jian Ma ◽  
Shu Wang ◽  
Yiming Ye ◽  
Yan Wu ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Electric Vehicle ◽  
Driving Cycle
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