Fuzzy Logic-Driven Throttle Adjustment for Z-Path Navigation in Electric Vehicles

Automated throttle control plays a vital role in the future development of electric vehicles, especially when it comes to navigating tricky roads. This research focuses on automating the throttle system for Z-path navigation using fuzzy logic. The system takes the desired throttle position as input and uses it to control the vehicle’s speed and state. Through a fuzzy logic system, which applies specific rules and functions, the study tackles the challenge of navigating non-linear paths, particularly Z paths. The results show that the fuzzy logic controller is able to manage throttle position, speed, and path navigation effectively, leading to smooth and accurate Z-path maneuvers. This work tells us how fuzzy logic controllers can improve automated throttle systems in electric vehicles and also provides a reliable solution to complex navigation and overcome the limitations of traditional throttle mechanisms.

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Publication Details

Published
2025-03-06
DOI
https://doi.org/10.1109/ispcc66872.2025.11039359
Primary Topic
Robotic Path Planning Algorithms
Type
article
Field-Weighted Citation Impact
0.00

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article

Fuzzy Logic-Driven Throttle Adjustment for Z-Path Navigation in Electric Vehicles

Raghavendra M. Shet, Ujwala Patil, Nalini C. Iyer, Shivaraj Panishettar et al.
Robotic Path Planning Algorithms
article

Fuzzy Logic-Driven Throttle Adjustment for Z-Path Navigation in Electric Vehicles

Raghavendra M. Shet, Ujwala Patil, Nalini C. Iyer, Shivaraj Panishettar, Puneet Mugabasav, Shreyas M. Salotagi, Adwait Sanikop, Venkatesh Uttam
article en

Abstract

Automated throttle control plays a vital role in the future development of electric vehicles, especially when it comes to navigating tricky roads. This research focuses on automating the throttle system for Z-path navigation using fuzzy logic. The system takes the desired throttle position as input and uses it to control the vehicle’s speed and state. Through a fuzzy logic system, which applies specific rules and functions, the study tackles the challenge of navigating non-linear paths, particularly Z paths. The results show that the fuzzy logic controller is able to manage throttle position, speed, and path navigation effectively, leading to smooth and accurate Z-path maneuvers. This work tells us how fuzzy logic controllers can improve automated throttle systems in electric vehicles and also provides a reliable solution to complex navigation and overcome the limitations of traditional throttle mechanisms.

KLE Technological University (IN)
KLE Technological University
Affordable and clean energy
Openalex Percentile: Top 87%
Robotic Path Planning Algorithms
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Fuzzy Logic-Driven Throttle Adjustment for Z-Path Navigation in Electric Vehicles — Raghavendra M. Shet, Ujwala Patil, et al. · (2025) | TGRS Research Map | TGRS