多工况协同控制新能源重卡驱动电机智能限速系统及方法

Through the multi-condition collaborative control system, the speed of the drive motor of the new energy heavy truck is sensed and optimized in real time, which solves the problem of insufficient dynamic response in the traditional system and realizes efficient and safe motor control and energy management.

CN120396705BActive Publication Date: 2026-07-17SHENZHEN SILICON MOUNTAIN TECH CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
SHENZHEN SILICON MOUNTAIN TECH CO LTD
Filing Date
2025-04-27
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Traditional speed limiting systems for drive motors in new energy heavy-duty trucks cannot comprehensively respond to dynamic changes in slope, load, and road surface adhesion, causing the motor to deviate from its high-efficiency range, posing safety hazards and resulting in low energy recovery efficiency.

Method used

The multi-condition collaborative control system employs a multi-sensor fusion layer, a condition identification layer, a dynamic speed limit decision layer, and an execution control layer. Through fuzzy rule base, Kalman filtering, and model predictive control, it perceives the vehicle status in real time and dynamically optimizes the speed limit. Combined with regenerative braking and mechanical braking, it achieves closed-loop speed control.

Benefits of technology

Precisely matching motor output characteristics under complex road conditions suppresses safety hazards, improves energy recovery efficiency, extends driving range, and ensures vehicle stability and safety.

✦ Generated by Eureka AI based on patent content.

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Abstract

本发明公开了多工况协同控制新能源重卡驱动电机智能限速系统及方法,通过CAN总线将同步数据发送至工况识别层;工况识别层,用于接收多传感器融合层的数据,通过模糊规则库与卡尔曼滤波动态分类当前工况,并输出置信度标签至动态限速决策层;动态限速决策层,用于根据工况标签、电机效率MAP图及电池SOC状态,通过模型预测控制滚动优化电机转速限值,并将限值指令下发至执行控制层;执行控制层,用于接收动态限速决策层的限值指令,通过弱磁控制调节d / q轴电流分量,并协调再生制动与机械制动实现转速闭环控制。通过融合多源传感器数据与工况动态识别技术,系统能够实时感知复杂路况变化并预判车辆状态。
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