Autonomous driving paper index

Design and Development of a Compact Active Deployable Solar Panel System for Enhanced Energy Harvesting

2026-07-18 · International Journal of Innovative Science and Research Technology (IJISRT)

autonomous drivingdeploymentcontrol

One-line summary

This paper presents the design and development of a compact active deployable solar panel system for enhanced energy harvesting.

Engineering notes

Key topics: autonomous driving, deployment, control. See the paper for implementation details and experimental results.

Chinese explanation / 中文解读

中文解读待补充:本站会优先为端到端自动驾驶、BEV感知、3D目标检测、轨迹预测、路径规划、LiDAR感知等高价值论文补充中文说明。

Original abstract

Conventional fixed photovoltaic (PV) panels experience reduced energy harvesting efficiency because they cannot continuously align with the sun, while many portable solar systems require manual deployment. This paper presents the design and development of a compact active deployable solar panel system for enhanced energy harvesting. The proposed system employs an Arduino Nano-based embedded controller to automate panel deployment, solar tracking, and real-time system monitoring. A servo motor is used for deployment, while LDR sensors and a motor driver enable automatic sun tracking. Additional sensors monitor panel temperature, output current, orientation, and deployment status to ensure reliable and safe operation. A prototype incorporating a 3.84 W photovoltaic panel was developed and experimentally evaluated under varying solar conditions. The results demonstrate reliable deployment, accurate solar tracking, and improved energy harvesting compared with a conventional fixed-panel system. The proposed design provides a compact, low-cost, and intelligent solution suitable for portable photovoltaic applications and off-grid renewable energy systems.

5.5Engineering value
7.0Research novelty
6.0Business relevance

Links and sources

Need this topic turned into a technical roadmap?

Full Self Driving can prepare a custom autonomous driving literature review, code map, dataset map, and B2B technology assessment.

Request B2B research

Comments

No comments yet. Be the first to share your thoughts on this paper.
Login or register to leave a comment