Energy management of hybrid vehicles using artificial intelligence

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.