Multi-actuator cooperative control method and device, electronic equipment and storage medium

By calculating comfort violation and energy consumption, and combining occupant local comfort and actuator energy consumption models, the optimal control combination is selected, which solves the problem of insufficient unified arbitration logic in multi-actuator thermal comfort control systems. It realizes the coordinated control of multiple actuators such as air conditioning, steering wheel, and seat heating, and improves the overall optimization capability of the system.

CN122402178APending Publication Date: 2026-07-17ZHEJIANG GEELY HLDG GRP CO LTD +1

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
ZHEJIANG GEELY HLDG GRP CO LTD
Filing Date
2026-05-29
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing multi-actuator thermal comfort control systems lack a unified arbitration logic, making it impossible to determine when to prioritize the use of local actuators or whole-cabin adjustments, resulting in insufficient comprehensive optimization capabilities between energy saving and comfort.

Method used

By calculating the comfort violation and energy consumption of each control combination, and combining the occupant local comfort and actuator energy consumption model, the optimal target control combination is selected to achieve coordinated control of multiple actuators such as air conditioning, steering wheel, and seat heating.

Benefits of technology

It achieves comprehensive optimal control in multi-actuator scenarios, balancing comfort and energy consumption, avoiding the sole pursuit of maximizing comfort or minimizing energy consumption, and improving the accuracy and efficiency of control.

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Abstract

本申请提供一种多执行器协同控制方法及装置、电子设备、存储介质,该方法包括:获取多种执行器的多种控制组合;每种控制组合包括多个执行器控制量;针对每种控制组合,根据控制组合中的多个执行器控制量以及已知的每个乘员不同身体区域的局部舒适度,确定控制组合对应的舒适违背量;针对每种控制组合,根据控制组合中的多个执行器控制量,确定控制组合的能耗量;根据每种控制组合的舒适违背量以及能耗量,从多种控制组合中选取目标控制组合。该方案以舒适违背量和能耗量为优化边界,综合选取最优的目标控制组合,不再无限追求舒适最大化或能耗最低,实现了空调、方向盘、座椅加热、通风等多个执行器的协同控制。
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