In-vehicle dynamic load balancing policy with multi-agent system

Championnet Guy, Sanghoon Lee, Cheon Eun, Kim Beomil, Lee Youngil, Bae Junghyeon

Research output: Contribution to conferencePaper

Abstract

Due to continuous effort to reduce CO2 emissions, smarter electrical components are widely used in vehicles, making possible a more efficient management of the electrical power generation, storage, distribution and control. Such components include intelligent generators; battery management systems to prevent battery from operating outside its safe operation area; power distribution units that provide power to various electrical loads and can as well measure the current of the power lines. In this paper, a Multi-Agent System cooperative electrical energy manager for a passenger vehicle is developed to balance loads and electrical power generation in real time while satisfying system's operations. Generally vehicular electrical energy management systems currently used are centralized: a single manager controls power generation device and all manageable power consuming devices; this requires detailed information from all devices and lacks of flexibility. Multi-agent system is a distributed computational intelligent technology, which has a great potential to use for control and management in power engineering. The key benefits of multi-agent system are flexibility and extendibility, which motivates the use of this approach for implementing electrical energy management. The system optimally regulates the generated power and switch status for each controllable load in the vehicle power net system to maintain the system stability and functionality, the level of safety of the loads is also considered. The decentralized control framework has the capability to integrate multiple sources of electrical power, distribution units and loads into the overall control system to achieve group goals in real time through vehicular communication bus.

Original languageEnglish
Publication statusPublished - 2016 Jan 1
Event36th FISITA World Automotive Congress, 2016 - Busan, Korea, Republic of
Duration: 2016 Sep 262016 Sep 30

Other

Other36th FISITA World Automotive Congress, 2016
CountryKorea, Republic of
CityBusan
Period16/9/2616/9/30

Fingerprint

Dynamic loads
Multi agent systems
Resource allocation
Power generation
Managers
Energy management systems
Decentralized control
Energy management
System stability
Switches
Control systems
Communication

All Science Journal Classification (ASJC) codes

  • Automotive Engineering
  • Safety, Risk, Reliability and Quality

Cite this

Guy, C., Lee, S., Eun, C., Beomil, K., Youngil, L., & Junghyeon, B. (2016). In-vehicle dynamic load balancing policy with multi-agent system. Paper presented at 36th FISITA World Automotive Congress, 2016, Busan, Korea, Republic of.
Guy, Championnet ; Lee, Sanghoon ; Eun, Cheon ; Beomil, Kim ; Youngil, Lee ; Junghyeon, Bae. / In-vehicle dynamic load balancing policy with multi-agent system. Paper presented at 36th FISITA World Automotive Congress, 2016, Busan, Korea, Republic of.
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Guy, C, Lee, S, Eun, C, Beomil, K, Youngil, L & Junghyeon, B 2016, 'In-vehicle dynamic load balancing policy with multi-agent system' Paper presented at 36th FISITA World Automotive Congress, 2016, Busan, Korea, Republic of, 16/9/26 - 16/9/30, .

In-vehicle dynamic load balancing policy with multi-agent system. / Guy, Championnet; Lee, Sanghoon; Eun, Cheon; Beomil, Kim; Youngil, Lee; Junghyeon, Bae.

2016. Paper presented at 36th FISITA World Automotive Congress, 2016, Busan, Korea, Republic of.

Research output: Contribution to conferencePaper

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Guy C, Lee S, Eun C, Beomil K, Youngil L, Junghyeon B. In-vehicle dynamic load balancing policy with multi-agent system. 2016. Paper presented at 36th FISITA World Automotive Congress, 2016, Busan, Korea, Republic of.