Torque estimation of electric vehicle motor using adaptive-network based fuzzy inference systems

This paper presents to estimating studies of the torque data Electric Vehicle (EV) motor using Adaptive-Network Based Fuzzy Inference Systems (ANFIS). The real-time set Outer-Rotor Permanent Magnet Brushless DC (ORPMBLDC) which was designed and manufactured for in ultra-light EV, used these estimation process. current, power speed parameters are defined as input variables, parameter output variable. Five distinct ANFIS models were process performances each model compared. most effective testing among anfis: 2 with 98 nodes 36 fuzzy rules, worst 5 286 125 rules. Performance results all presented tables graphs.