Speed reducer multi-field loss equalization method and system based on working condition self-adaptive feedback

By constructing a multi-field loss balancing system for a reducer with adaptive feedback under operating conditions, dynamic adjustment of multiple physical fields inside the reducer is achieved, solving the problem of uneven loss distribution under complex operating conditions and improving system energy efficiency and reliability.

CN121523060AActive Publication Date: 2026-02-13YU CHUAN (SHANGHAI) TRANSMISSION TECH CO LTD +2
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Patent Information

Application Number
CN202610042957.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-01-14
Publication Date
2026-02-13
Estimated Expiration
2046-01-14

AI Technical Summary

Technical Problem

Existing reducers fail to achieve dynamic response coordination between multiple physical fields under complex and variable operating conditions, resulting in local stress concentration, uneven temperature rise, oil film rupture, and unbalanced energy loss distribution, which affects the overall energy efficiency and service life of the system.

Method used

A multi-field loss balancing system for reducers based on adaptive feedback of operating conditions is constructed. Through real-time operating condition perception, multi-field coupling modeling, loss balancing decision-making and adaptive execution, closed-loop intervention and dynamic reconstruction of mechanical, thermal, lubrication and electromagnetic fields are realized. Real-time control is achieved by using distributed sensor networks and multi-objective optimization algorithms.

Benefits of technology

It significantly reduces the maximum temperature difference of key components, delays the initiation of fatigue cracks, improves the overall energy efficiency of the system by 8%-15%, and maintains long-term stability under heavy-load and variable-speed conditions.

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Abstract

The invention relates to the field of mechanical engineering, discloses a speed reducer multi-field loss balancing method and system based on working condition self-adaptive feedback, and aims to solve the problems of local loss concentration, intensified temperature rise and low energy efficiency caused by neglect of a multi-physical field coupling relation in the prior art. The method comprises the following steps: acquiring mechanical, thermal, fluid and electromagnetic parameters in operation of the speed reducer through a distributed sensor, and generating a standardized working condition state vector; and inputting into a mechanical-thermal-fluid-electromagnetic four-field coupling model, and solving the space-time loss distribution of the key component by combining with a data driving correction term. According to the scheme, refined prediction and closed-loop regulation and control of multi-field loss distribution are achieved, the local temperature difference and energy consumption concentration are remarkably reduced, the energy efficiency of the whole machine is improved by 8%-15%, the service cycle is prolonged, and the method is suitable for a high-end equipment transmission system under the high-dynamic heavy-load working condition.
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