Journal of Advances in Developmental Research

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Volume 17 Issue 2
2026

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Artificial Intelligence-Based Energy Management for Hybrid Electric Vehicles Integrated with Renewable Energy Sources

Author(s) Dr. M Lakshminarayana Babu
Country India
Abstract Managing energy flow in a renewable-assisted hybrid electric vehicle requires coordination of intermittent photovoltaic generation, an engine–generator and battery storage. This study develops a reproducible Python framework for examining supervisory power allocation in a solar-assisted series hybrid electric vehicle. A one-step equivalent-energy heuristic generates reference generator commands, and a decision-tree regressor learns the mapping from electrical demand, battery state of charge and available photovoltaic power to generator output. An independent feasibility projection enforces generator, battery-power and state-of-charge constraints. The controller is compared with a thermostat baseline over a 1,800 s synthetic driving scenario spanning 5.880 km. Seven results describe the driving input, photovoltaic availability, source power sharing, battery state of charge, cumulative fuel consumption, energy accounting and demand satisfaction. The learned policy achieves a held-out teacher-imitation mean absolute error of 0.258 kW. Simulated fuel consumption is 0.828 L for the learned controller and 0.846 L for the baseline; however, their final states of charge differ, at 61.80% and 62.46%, respectively, preventing attribution of the raw fuel difference to a verified charge-sustaining efficiency improvement. Both cases satisfy the modeled demand within numerical precision. Host-based timing yields a median single-sample inference time of 41.60 microseconds across 1,000 calls. The study demonstrates a transparent energy-level simulation workflow and identifies the additional validation needed for a publication-grade controller comparison. Experimental validation, reinforcement-learning optimization, converter dynamics and battery ageing are outside the implemented scope.
Keywords hybrid electric vehicle; photovoltaic integration; energy management; decision tree; imitation learning; power allocation; Python simulation.
Field Engineering
Published In Volume 17, Issue 2, July-December 2026
Published On 2026-11-04
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Crossref DOI prefix of IJAIDR is 10.71097/IJAIDR

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