TY - GEN
T1 - Energy management of hybrid vehicles using artificial intelligence
AU - Chi, Hao Ran
AU - Chui, Kwok Tai
AU - Tsang, Kim Fung
AU - Chung, Henry Shu Hung
PY - 2013
Y1 - 2013
N2 - High depletion of diesel and petroleum gas in vehicles has wreaked havoc on environment and human beings. In the light of better fuel economy and lower pollution, more people will adopt hybrid electric vehicles. To improve the energy efficiency of fuel-cell based hybrid electric vehicles and thus improving the performance of fuel reduction, a feasibility study of optimization of energy efficiency has been discussed using fuzzy logic controller. On the other hand, energy has precedence to be generated by battery over fuel as battery produces less pollutants and carbon dioxide. Based on various percentage battery capacity and fuel tank capacity, thirty two (9) scenarios have been investigated. The average reduction of fuel consumption by fuzzy logic controller is 21.1% with 464 tons carbon dioxide reduction and 3.3 million Hong Kong dollars saving provided one million of hybrid electric vehicles travel for 28 kilometers. This can relieve the greenhouse effect and increase the popularity of people from replacing conventional vehicles with hybrid electric vehicles.
AB - High depletion of diesel and petroleum gas in vehicles has wreaked havoc on environment and human beings. In the light of better fuel economy and lower pollution, more people will adopt hybrid electric vehicles. To improve the energy efficiency of fuel-cell based hybrid electric vehicles and thus improving the performance of fuel reduction, a feasibility study of optimization of energy efficiency has been discussed using fuzzy logic controller. On the other hand, energy has precedence to be generated by battery over fuel as battery produces less pollutants and carbon dioxide. Based on various percentage battery capacity and fuel tank capacity, thirty two (9) scenarios have been investigated. The average reduction of fuel consumption by fuzzy logic controller is 21.1% with 464 tons carbon dioxide reduction and 3.3 million Hong Kong dollars saving provided one million of hybrid electric vehicles travel for 28 kilometers. This can relieve the greenhouse effect and increase the popularity of people from replacing conventional vehicles with hybrid electric vehicles.
KW - Artificial Intelligence (AI)
KW - Energy Management
KW - Fuzzy Logic (FL))
KW - Hybrid Electric Vehicle (HEV)
UR - http://www.scopus.com/inward/record.url?scp=84892651481&partnerID=8YFLogxK
U2 - 10.1109/GCCE.2013.6664926
DO - 10.1109/GCCE.2013.6664926
M3 - Conference contribution
AN - SCOPUS:84892651481
SN - 9781479908929
T3 - 2013 IEEE 2nd Global Conference on Consumer Electronics, GCCE 2013
SP - 65
EP - 67
BT - 2013 IEEE 2nd Global Conference on Consumer Electronics, GCCE 2013
T2 - 2013 IEEE 2nd Global Conference on Consumer Electronics, GCCE 2013
Y2 - 1 October 2013 through 4 October 2013
ER -