CN109767619A - An intelligent network-connected pure electric vehicle driving condition prediction method - Google Patents
An intelligent network-connected pure electric vehicle driving condition prediction method Download PDFInfo
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Abstract
本发明公开了一种智能网联纯电动汽车行驶工况预测方法,视频检测系统获取路况信息、车载传感器获取车辆行驶信息、GPS卫星定位系统获取车辆位置信息,并传递给云端服务器;若道路当前为畅行路况,则根据马尔可夫滚动预测方法预测未来工况信息;若为拥堵路况,则对根据本车前后车辆的历史数据进行预测;若为缓行路况,则根据马尔可夫滚动预测方法和本车前后车辆的历史数据进行未来工况信息的预测,将预测结果传递给主控制器,求得预测值与实际值的误差作为下次预测的反馈输入。本发明采用智能网联的方法实时获取路况信息,提高了预测的准确性,保证预测的未来行驶工况信息更接近于实际工况信息。
The invention discloses a method for predicting the driving conditions of an intelligent network-connected pure electric vehicle. A video detection system acquires road condition information, an on-board sensor acquires vehicle driving information, and a GPS satellite positioning system acquires vehicle location information, and transmits it to a cloud server; For smooth road conditions, the future working condition information is predicted according to the Markov rolling prediction method; if it is a congested road condition, it is predicted based on the historical data of the vehicles before and after the vehicle; The historical data of the vehicle before and after the vehicle is used to predict the future working condition information, and the prediction result is transmitted to the main controller, and the error between the predicted value and the actual value is obtained as the feedback input for the next prediction. The invention adopts the method of intelligent network connection to acquire road condition information in real time, improves the accuracy of prediction, and ensures that the predicted future driving condition information is closer to the actual working condition information.
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CN111831853A (en) * | 2020-07-16 | 2020-10-27 | 深圳市商汤科技有限公司 | Information processing method, apparatus, equipment and system |
CN113094967A (en) * | 2021-03-31 | 2021-07-09 | 北京理工大学 | Unmanned vehicle position prediction method and device |
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CN118974791A (en) * | 2022-03-29 | 2024-11-15 | 北美日产公司 | Traffic status determination |
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Cited By (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110610611A (en) * | 2019-09-26 | 2019-12-24 | 江苏大学 | Driving safety evaluation method for intelligent networked vehicles in mixed traffic flow |
CN111402582A (en) * | 2020-03-12 | 2020-07-10 | 东南大学 | A control method for the use of a dedicated lane for autonomous driving by an electric vehicle in an intelligent networked environment |
CN111402582B (en) * | 2020-03-12 | 2021-05-25 | 东南大学 | Control method for electric automobile to borrow lane special for automatic driving in intelligent network connection environment |
CN111693060A (en) * | 2020-06-08 | 2020-09-22 | 西安电子科技大学 | Path planning method based on congestion level prediction analysis |
CN111693060B (en) * | 2020-06-08 | 2022-03-04 | 西安电子科技大学 | Path planning method based on congestion level prediction analysis |
CN111831972A (en) * | 2020-07-16 | 2020-10-27 | 宁波工程学院 | A method and system for predicting operating conditions of hybrid electric vehicles based on changes in road conditions |
CN111831853A (en) * | 2020-07-16 | 2020-10-27 | 深圳市商汤科技有限公司 | Information processing method, apparatus, equipment and system |
CN113094967A (en) * | 2021-03-31 | 2021-07-09 | 北京理工大学 | Unmanned vehicle position prediction method and device |
CN113267345A (en) * | 2021-04-23 | 2021-08-17 | 联合汽车电子有限公司 | Method for predicting resistance of unknown road section in front of vehicle, storage medium, controller and system |
CN118974791A (en) * | 2022-03-29 | 2024-11-15 | 北美日产公司 | Traffic status determination |
CN118974791B (en) * | 2022-03-29 | 2025-05-27 | 北美日产公司 | Traffic status determination |
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