Invention Grant
- Patent Title: Traffic-info-incorporated NNT driver model for EV trip energy prediction
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Application No.: US17700996Application Date: 2022-03-22
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Publication No.: US12152893B2Publication Date: 2024-11-26
- Inventor: Yongjie Zhu , Dongxu Li , Yue-Yun Wang , Chen-Fang Chang , Chunhao J. Lee , Brandon D. Mazzara
- Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
- Applicant Address: US MI Detroit
- Assignee: GM GLOBAL TECHNOLOGY OPERATIONS LLC
- Current Assignee: GM GLOBAL TECHNOLOGY OPERATIONS LLC
- Current Assignee Address: US MI Detroit
- Main IPC: G01C21/34
- IPC: G01C21/34 ; G08G1/052

Abstract:
A trip energy estimation system for a vehicle includes a traffic speed module configured to determine an average traffic speed along a projected route, a path information module configured to output path information indicating route features along the projected route, a perceived speed module configured to output a perceived vehicle speed along the projected route based on the average traffic speed and the path information, and a dynamic driving module configured to calculate and output a predicted driver speed based on the perceived vehicle speed and a feedback input indicative of the predicted driver speed. The dynamic driving module is configured to execute a machine learning algorithm to calculate the predicted driver speed.
Public/Granted literature
- US20230304810A1 TRAFFIC-INFO-INCORPORATED NNT DRIVER MODEL FOR EV TRIP ENERGY PREDICTION Public/Granted day:2023-09-28
Information query
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