Research on Intelligent Power Management and Control Technology of Electric Vehicle Based on Edge Computing

2021 ◽  
Author(s):  
Jizhe Lu ◽  
Xuan Liu ◽  
Shuai Hou ◽  
Jian Dou ◽  
Shuang Qie
Keyword(s):  
Electric Vehicle ◽  
Power Management ◽  
Edge Computing ◽  
Control Technology ◽  
Intelligent Power Management ◽  
And Control

Design of Intelligent Green Power Management System

2013 ◽  
Vol 340 ◽  
pp. 984-987
Author(s):  
Yong Sheng Du ◽  
Zhang Hong Yu ◽  
Yu Qing Jian
Keyword(s):  
Energy Consumption ◽  
Power Management ◽  
Management System ◽  
Electricity Consumption ◽  
Electrical Equipment ◽  
Control Center ◽  
Green Power ◽  
Power Management System ◽  
Intelligent Power Management ◽  
And Control

Intelligent power management system can detect and control the electricity consumption of electrical equipment of family and office automatically, to achieve the purpose of saving energy consumption. The monitoring server is the control center of the whole system,it can real-time monitor the energy consumption data of inserting the electric apparatus,and it can also control the power on and off automatically through remote operation of the client or using strategies. The monitoring server uses embedded Linux platform based on arm architecture,software development mainly uses C Language. This paper introduces the software design of monitoring server, and also in detail describes the design of the driver and communication protocol.

scholarly journals A Multi-objective Optimization Algorithm for Multiple Home Users Intelligent Power Management and Control Based on Pareto and Nash Equilibrium Game

2019 ◽  
Vol 95 ◽  
pp. 03001
Author(s):  
Zhou Yu ◽  
Hu Weifeng ◽  
Wang Dezhi ◽  
Xu Zheng ◽  
Yu Tao
Keyword(s):  
Nash Equilibrium ◽  
Power Management ◽  
Optimization Algorithm ◽  
Optimization Model ◽  
Peak Load ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Intelligent Power Management ◽  
And Control ◽  
Home Users

A multi-objective optimization model for multiple home users intelligent power management and control is proposed. A photovoltaic power model, an electric vehicle battery model and a load model are developed first, and then a strategy of home intelligent power management is presented based on battery operation and PV spontaneous self-use. Secondly, a multi-objective optimization model of multiple home users intelligent power management, including the user comfort, economy and optimization of load curve, is provided under the constraints. Then using a multi-objective optimization algorithm and Nash equilibrium game theory to solve the multi-objective problem. Finally, the 100-home power management and control simulation case show that the presented algorithm can improve the comfort and the economy of users effectively, but also help the power grid to peak load shifting.

Power management policies and control of hybrid electric vehicle

2009 ◽  
Vol 1 (1) ◽  
pp. 101 ◽  
Author(s):  
Gorantla Srinivasa Rao ◽  
G.K. Rao ◽  
G.R.K. Murthy ◽  
Y. Obulesh
Keyword(s):  
Electric Vehicle ◽  
Power Management ◽  
Hybrid Electric Vehicle ◽  
Management Policies ◽  
Hybrid Electric ◽  
And Control

A power management and control strategy with grid-ancillary services for a microgrid based on DC Bus

2014 ◽  
Vol 9 (4) ◽  
pp. 792 ◽  
Author(s):  
Anna Pinnarelli ◽  
Giuseppe Barone ◽  
Giovanni Brusco ◽  
Alessandro Burgio ◽  
Daniele Menniti ◽  
...  
Keyword(s):  
Power Management ◽  
Control Strategy ◽  
Ancillary Services ◽  
Dc Bus ◽  
And Control
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