| Autor: |
K. Bala Krishna, V. Tejasree, Rachananjali K, Santosh Kumar Suman |
| Rok vydání: |
2018 |
| Předmět: |
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| Zdroj: |
Advances in Intelligent Systems and Computing ISBN: 9789811078675 |
| DOI: |
10.1007/978-981-10-7868-2_60 |
| Popis: |
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. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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