A multi-source information fusion idle start-stop control method

By using a multi-source information fusion method and combining data from vehicle radar and navigation systems with vehicle hardware status and road gradient, the problems of frequent start-stop and start-up lag in the idle start-stop system were solved, achieving precision and safety in idle start-stop control.

CN122379545APending Publication Date: 2026-07-14FAW QI NEW POWER (CHANGCHUN) TECHNOLOGY CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
FAW QI NEW POWER (CHANGCHUN) TECHNOLOGY CO LTD
Filing Date
2026-05-20
Publication Date
2026-07-14

AI Technical Summary

Technical Problem

The existing idle start-stop control system relies on a single basic sensor signal from the vehicle body, which makes it difficult to accurately distinguish between short-distance following and slow driving and long-term congestion and queuing conditions. This results in frequent start-stop operations and sluggish starting power, and it lacks hardware timeout protection.

Method used

A multi-source information fusion method is adopted to obtain the distance to the vehicle output by the vehicle millimeter-wave radar, the semantic recognition data of the vehicle assistant navigation system, the vehicle hardware status and the road slope. The stop allowance judgment function value is calculated through a weighted fusion model to generate idle stop or start command, and combined with hardware protection timer to prevent misoperation.

Benefits of technology

It achieves a comprehensive judgment of the physical traffic flow in front of the vehicle and the semantics of intersection passage, avoids frequent starts and stops, eliminates mechanical pressure build-up and electrical charging delays, and ensures the continuity of power transmission and the safety of hardware.

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Abstract

This application discloses a multi-source information fusion idle start-stop control method, relating to the field of automotive control, including: acquiring the distance to the vehicle ahead output by an onboard millimeter-wave radar, navigation passage and waiting instructions extracted through semantic recognition, vehicle basic hardware status, and road static longitudinal slope value. After the road slope and vehicle hardware status meet the stopping requirements, a traffic congestion coefficient is calculated based on the distance to the vehicle ahead, and the navigation instructions are converted into digital codes; combining the traffic congestion coefficient and the navigation codes, a stopping allowance judgment function value is calculated through a weighted fusion model including a heterogeneous signal conflict correction compensation term, and based on the comparison of the judgment function value with a preset threshold, a mandatory prohibition of engine idling stop instruction or a stop allowance instruction is output. This invention integrates physical sensor and navigation semantic information, enabling accurate prediction of road conditions ahead, distinguishing between short-term slow traffic and long-term waiting scenarios, and effectively reducing unnecessary engine start-stops.
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