A Comprehensive Research Review on Adaptive Fuel Injection System with AI Optimized Fuel Delivery for Trucks
| International Journal of Electrical and Electronics Engineering |
| © 2025 by SSRG - IJEEE Journal |
| Volume 12 Issue 10 |
| Year of Publication : 2025 |
| Authors : Anupama S, Kavyashree M K, Chaitra V |
10.14445/23488379/IJEEE-V12I10P116
How to Cite?
Anupama S, Kavyashree M K, Chaitra V, "A Comprehensive Research Review on Adaptive Fuel Injection System with AI Optimized Fuel Delivery for Trucks," SSRG International Journal of Electrical and Electronics Engineering, vol. 12, no. 10, pp. 217-231, 2025. Crossref, https://doi.org/10.14445/23488379/IJEEE-V12I10P116
Abstract:
Artificial Intelligence (AI) is reforming the fuel injection in heavy-duty trucks by empowering the precise, adaptive control of fuel injection, timing, and air-fuel proportions. This paper reviews the recent progress in the AI-driven adaptive fuel injection, which mainly focuses on the algorithmic outlooks, the incorporation of sensors, and control tactics. While existing studies have proclaimed the substantial gains in fuel effectiveness and minimization of emissions, most of them remained confined to offline analysis, particular fuel varieties, and regulated environments with nominal large-scale real-world authentication. This review has assembled the preceding research by the machine learning methodology, differentiates performance metrics, and ascertains the gap related to computational effectiveness, cross-fuel versatility, and integration with IoT-empowered engine control units. Opportunities for the betterment that comprises lightweight real-time frameworks, reinforcement learning for ceaseless adaptation, economic and regulatory architectures to reinforce scalable placement in the next-generation transportation systems.
Keywords:
Intelligent Fuel Optimization, Adaptive Engine Control, AI-Driven Fuel Efficiency, Predictive Fuel Injection, Smart Vehicle Powertrain.
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