Compact electric warehouse forklifts are widely deployed in narrow-aisle storage scenarios, where they complete short-distance material handling, goods stacking and cargo picking tasks with high space utilization adaptability. In actual daily operation, turning scenarios account for more than 30% of the total working cycle time of such equipment, and unscientific speed setting in the turning process is one of the common causes of minor safety incidents, including cargo slipping, shelf collision and unstable vehicle body tilt.

The turning speed limit system of the equipment does not adopt a fixed single speed threshold, but adopts a set of linked parameters that match multiple real-time operation data. The core parameters cover the corresponding speed limit values under different steering angle ranges, the speed reduction response delay time, and the correction coefficient linked to the real-time load of the vehicle. For most conventional working conditions, when the steering angle is less than 15 degrees, the allowed maximum turning speed can meet the demand of smooth transition of driving state; when the steering angle exceeds 30 degrees, the system will trigger a gentle deceleration logic, to avoid the centrifugal force generated by excessive speed exceeding the stable support limit of the vehicle body.

The reasonable calibration of turning speed limit parameters directly affects the balance between operation efficiency and safety performance. The calibration process should cover three common working conditions: no load, half load and full load, and complete repeated verification on the actual pavement of the operation site. Appropriate parameter configuration will not cause unnecessary restrictions on the normal operation rhythm, and can effectively control the rollover risk during the turning process within the controllable range.

In the daily operation and maintenance process, the operation team should regularly check the response sensitivity of the speed limit module, and adjust the parameter setting in time according to the change of actual working conditions such as pavement wear and new storage shelf layout. Combined with the basic operation training of drivers, the matching between operation habits and equipment parameter characteristics can further improve the overall safety redundancy of warehouse material handling.