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Real-time optimization method for energy-saving driving strategy between two intersections under time-varying condition

A driving strategy and technology between intersections, applied in the field of real-time optimization of energy-saving driving strategies between two intersections under time-varying conditions, can solve the problems of failure to take into account vehicle energy consumption and driving time, achieve obvious energy-saving effects, reduce vehicle The effect of energy consumption

Active Publication Date: 2021-12-03
CATARC TIANJIN AUTOMOTIVE ENG RES INST CO LTD +1
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  • Application Information

AI Technical Summary

Problems solved by technology

[0007] In view of this, the present invention aims to propose a real-time optimization method for energy-saving driving strategies between two intersections under time-varying conditions to solve the problem that vehicle energy-saving driving strategies fail to take into account vehicle energy consumption and travel time at the present stage

Method used

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  • Real-time optimization method for energy-saving driving strategy between two intersections under time-varying condition
  • Real-time optimization method for energy-saving driving strategy between two intersections under time-varying condition
  • Real-time optimization method for energy-saving driving strategy between two intersections under time-varying condition

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specific Embodiment approach

[0088] Use vehicles equipped with GPS to collect road spectrum, build a digital map of a certain area, and embed it into the rapid prototype controller;

[0089] Install a GPS device, a rapid prototype controller and a vehicle-mounted display on the vehicle. The GPS device sends the real-time latitude and longitude and speed of the vehicle to the rapid prototype controller loaded with a near-optimal energy-saving driving strategy model through the CAN bus, and the vehicle-mounted display shows the rapid prototype controller. output result;

[0090] The driver selects the speed at which the vehicle exits through two intersections (υ ed ) and the expected average vehicle speed between two intersections (υ m ), obtain the mileage (s) and latitude and longitude trajectory between two intersections through digital maps, according to υ m and s to calculate the expected travel time (t) between two intersections;

[0091] When the vehicle just enters a certain two intersections, ba...

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Abstract

The invention provides a real-time optimization method for an energy-saving driving strategy between two intersections under a time-varying condition, which belongs to the technical field of automobile driving assistance systems. An optimal energy-saving driving strategy off-line calculation model with hybrid power vehicle wheel end energy consumption as a target function is constructed based on a double-state dynamic programming algorithm, and an optimal energy-saving vehicle speed track and a driving strategy under the boundary meeting different driving time, driving-in vehicle speeds at two intersections, driving-out vehicle speeds at two intersections and driving mileage between the intersections are solved. An optimal energy-saving vehicle speed track and a driving strategy library under different boundary conditions are established. A near-optimal driving strategy real-time calculation model is constructed based on an artificial neural network algorithm, a constructed optimal energy-saving vehicle speed track and a driving strategy library are taken as training samples, and the method has relatively high calculation precision, short calculation time and relatively strong energy-saving capability.

Description

technical field [0001] The invention belongs to the technical field of automobile driving assistance systems, and in particular relates to a real-time optimization method for an energy-saving driving strategy between two intersections under time-varying conditions. Background technique [0002] At present, my country's fossil energy is relatively short and motor vehicle emissions are one of the main sources of air pollutants. Energy conservation and emission reduction is an urgent need for the healthy development of the automobile industry. According to the GB 27999-2019 "Passenger Car Fuel Consumption Evaluation Method and Index" standard issued by the National Standardization Management Committee, under the WLTC regulations, the average fuel consumption of passenger cars will be reduced to 4.6L / 100km in 2025, of which Compared with NEDC operating conditions, WLTC operating conditions cover a wider range of operating conditions and are closer to real user operating conditio...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): B60W40/00B60W10/06B60W10/18G06N3/08G06N3/04
CPCB60W40/00B60W10/06B60W10/18G06N3/084B60W2520/10B60W2520/00B60W2710/06B60W2710/18G06N3/044G06N3/045Y02T10/84
Inventor 付雪青杨建军王宝森白巴特尔张先锋武玉琪牛亚卓李振国刘双喜
Owner CATARC TIANJIN AUTOMOTIVE ENG RES INST CO LTD
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