Methodology of intelligent energy management system simulation for electric vehicle applications with asynchronous logic controller

Kavalchuk, I, Nguyen, H, Pham Chi, T and Stojcevski, A 2016, 'Methodology of intelligent energy management system simulation for electric vehicle applications with asynchronous logic controller', in Proceedings of the 2016 7th International Conference on Intelligent Systems, Modelling and Simulations, Bankok, Thailand, 25-27 January 2016, pp. 225-233.


Document type: Conference Paper
Collection: Conference Papers

Title Methodology of intelligent energy management system simulation for electric vehicle applications with asynchronous logic controller
Author(s) Kavalchuk, I
Nguyen, H
Pham Chi, T
Stojcevski, A
Year 2016
Conference name 7th International Conference on Intelligent systems, Modelling and Simulations
Conference location Bankok, Thailand
Conference dates 25-27 January 2016
Proceedings title Proceedings of the 2016 7th International Conference on Intelligent Systems, Modelling and Simulations
Publisher IEEE
Place of publication United States
Start page 225
End page 233
Total pages 9
Abstract Power management in electrical vehicles has become significantly a challenging task due to the growing number of sub-systems, components and energy storage systems development. Moreover, efficient modelling, simulation, evaluation and optimization of power consumption is further complicated due to the asynchronous nature of power supply requests from those sources. This paper describes a methodology of modeling and simulation of an intelligent energy management system for electric vehicles in a MatLab Simulink environment. A centralized control architecture with an asynchronous-based controller was proposed as a novel design and implementation approach in order to optimize the computational time and energy consumption for real time applications with stochastic load requests in line with balancing the load request between the components of the hybrid energy storage system.
Subjects Automotive Combustion and Fuel Engineering (incl. Alternative/Renewable Fuels)
Power and Energy Systems Engineering (excl. Renewable Power)
Control Systems, Robotics and Automation
Keyword(s) asynchronous logic
control of intelligent systems
electric vehicles
smart energy management system
Copyright notice © 2016 IEEE
ISBN 9781509006649
ISSN 2166-0670
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