Abstract The main objective of the paper is to acclimatize the throttle accommodated in the internal combustion engine (ICE) to attain maximum output torque while alternating fuel consumed by adaptive neuro-fuzzy inference system (ANFIS) controller. This paper describes various techniques to acclimatize the throttle in ICE. The throttle manages the flow of fluid and can increase or decrease the engine’s power, and the air fuel ratio is checked and adjusted. Constantly maintain the air fuel ratio of the vehicle to attain the improved performance of the maximum possible torque demand from the engine. ANFIS control technique is an optimal method for controlling the hybrid vehicles. Hybrid vehicles are propelled by two sources. In this paper, hybrid vehicle uses two sources, that is, ICE and battery which is being charged with wind turbine.
Modeling of an ANFIS Controller for Series–Parallel Hybrid Vehicle
2018-01-01
13 pages
Article/Chapter (Book)
Electronic Resource
English
Adaptive neuro-fuzzy inference system (ANFIS) , Internal combustion engine (ICE) , Hybrid electric vehicle , Permanent magnet synchronous motor (PMSM) , Vector control , Artificial neural network (ANN) , Power train system Engineering , Computational Intelligence , Artificial Intelligence (incl. Robotics) , Algorithm Analysis and Problem Complexity
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