用真实路况和天气数据模拟太阳能车长途驾驶，帮用户优化能耗策略。
A Data-Driven Odyssey in Solar Vehicles
- 基于谷歌地图与天气数据构建动态驾驶模拟器
- 支持按小时更新状态，验证了世太赛路线的有效性
- 适合想了解太阳能车能耗管理的普通用户
太阳能汽车兼具产电与耗电功能，需精细的能量管理。但相较于传统车辆，潜在用户常对其操作感到困惑。本研究设计了一款模拟器，帮助用户理解太阳能汽车在长距离行驶中的能量行为，并认识科学管理的重要性。该模拟器结合谷歌地图数据与实时天气信息，复现真实驾驶条件，根据用户输入的速度每小时更新车辆状态，支持多种速度策略探索，并提供最优驾驶建议。通过世界太阳能挑战赛（World Solar Challenge, WSC）路线进行有效性验证。该研究使用户能在出行前掌握能量动态，提升对能量管理的理解，辅助做出合理的速度决策。
原文摘要 · Abstract (English)
Solar vehicles, which simultaneously produce and consume energy, require meticulous energy management. However, potential users often feel uncertain about their operation compared to conventional vehicles. This study presents a simulator designed to help users understand long-distance travel in solar vehicles and recognize the importance of proper energy management. By utilizing Google Maps data and weather information, the simulator replicates real-world driving conditions and provides a dashboard displaying vehicle status, updated hourly based on user-inputted speed. Users can explore various speed policy scenarios and receive recommendations for optimal driving strategies. The simulator's effectiveness was validated using the route of the World Solar Challenge (WSC). This research enables users to monitor energy dynamics before a journey, enhancing their understanding of energy management and informing appropriate speed decisions.
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