Cooperative control method, device and equipment for hybrid heavy-duty lorry queue

By constructing an energy consumption model based on load and kinetic energy recovery, and combining gradient information to dynamically decide on the lead vehicle and optimize the formation structure, the problem of insufficient energy consumption optimization caused by load changes is solved, and refined energy-saving control and stability improvement of mixed-load truck platoons under complex road conditions are achieved.

CN122337015APending Publication Date: 2026-07-03BEIJING TRUNK TECHNOLOGY CO LTD
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Patent Information

Application Number
CN202610537347.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-04-22
Publication Date
2026-07-03

AI Technical Summary

Technical Problem

Existing formation control technology is difficult to adapt to the actual needs of dynamic load changes in logistics transportation, resulting in deficiencies in ensuring driving safety and achieving refined energy conservation.

Method used

By acquiring the real-time load mass of each vehicle in the truck platoon, a vehicle energy consumption model including kinetic energy recovery is constructed. Combined with road gradient information, dynamic decisions are made regarding the lead vehicle, generating a platoon energy-saving control strategy and optimizing the platoon structure to adapt to complex road conditions.

Benefits of technology

It enables refined and adaptive energy-saving control of mixed-load truck platoons under complex road conditions, significantly improving overall energy efficiency and driving stability.

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Abstract

The embodiment of the invention provides a cooperative control method, device and equipment for a hybrid heavy-duty lorry queue, which can be applied to business scenes such as ports, ports, highway freight, urban distribution, mines, airports and the like, and comprises the following steps: acquiring real-time load mass of each vehicle in the queue, and constructing a vehicle energy consumption model containing kinetic energy recovery items according to the real-time load mass; on the basis of the energy consumption model and road gradient information obtained by look-ahead, the optimal pilot vehicle is dynamically determined with the goal of minimizing the global energy consumption of the queue; and finally, before the queue arrives at the ramp, an energy-saving control strategy is generated and executed, and the queue is indicated to complete collaborative driving configuration switching. According to the method, the factors of load, gradient and kinetic energy recovery are fused, so that refined and self-adaptive energy-saving control of the truck queue under real and complex road conditions is realized.
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