一种商用车车重计算方法、装置及存储介质

By calculating traction and acceleration using the driving parameters of commercial vehicles, and constructing a recursive system equation using a forgetting factor recursive least squares algorithm, the problem of vehicle weight estimation being dependent on resistance in existing technologies is solved, and accurate vehicle weight prediction is achieved under various driving conditions.

CN117261919BActive Publication Date: 2026-07-17SINO TRUK JINAN POWER CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
SINO TRUK JINAN POWER CO LTD
Filing Date
2023-09-28
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing vehicle weight estimation methods require driving on roads with fixed slopes, which limits driving conditions, and resistance estimation affects the accuracy of vehicle weight estimation.

Method used

By calculating traction and acceleration from the driving parameters of commercial vehicles, a recursive system equation is constructed using the forgetting factor recursive least squares algorithm to calculate an approximate vehicle weight. Through multiple estimations, a precise vehicle weight estimate is obtained, and unstable data is eliminated to achieve accurate prediction of vehicle weight.

Benefits of technology

Accurate vehicle weight estimation was achieved under various driving conditions, reducing reliance on drag estimation and improving computational efficiency and accuracy.

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Abstract

本发明涉及的一种商用车车重计算方法、装置及存储介质,涉及汽车车重计算技术领域。本发明通过商用车的行驶参数计算牵引力和加速度;利用牵引力、行车阻力和加速度计算相邻时刻的车重,取两相邻时刻的行车阻力一致,得到车重近似值;以车重近似值、相邻时刻的加速度差和相邻时刻的牵引力差构建递归最小二乘系统方程,利用遗忘因子递推最小二乘算法进行递推,得到至少三个独立的车重粗估值,取符合要求的独立的车重粗估值的计算前次车重平均值;利用前次车重平均值和当前次车重粗估值加权计算当前次车重精估值。本发明预测侧重所需的参数量少,且结合前次车重平均值和当前次车重粗估值避免车辆不稳定时车重估计错误,实现车重的准确预测。
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