中国研究人员创建了一个使用驾驶数据的系统,使EV射程的准确性提高30%以上,并具有更好的习惯。 Chinese researchers created a system using driving data to boost EV range accuracy by over 30% with better habits.

中国研究人员开发了一个数据驱动系统,通过分析驾驶习惯、温度和电池健康,改进实时电动车辆范围估算。 Chinese researchers have developed a data-driven system that improves real-time electric vehicle range estimation by analyzing driving habits, temperature, and battery health. 在多个城市对300,000公里的真实世界驾驶进行测试后,这个框架在5.5%的误差下取得了成就,并表明更好的驾驶习惯在汽车和公共汽车中可扩大30%以上和10%以上。 Tested across 300,000 kilometers of real-world driving in multiple cities, the framework achieves under 5.5% error and shows that better driving habits can extend range by over 30% in cars and 10% in buses. 该小组计划扩大模型,将天气和道路条件包括在内,并将其与车辆系统和云平台结合起来,以提高效率,支持智能运输网络。 The team plans to expand the model to include weather and road conditions, and integrate it with vehicle systems and cloud platforms to boost efficiency and support smart transportation networks.