摘要
针对绘制电机特性曲线时原始数据范围窄及测量精度不高的问题,构建了电机效率与电机转速、扭矩的多元线性回归模型,利用最小二乘法求解该模型并得到最佳匹配函数,通过该函数完成了效率曲面拟合与曲线绘制,并实现了实际道路工况的电机效率仿真。
It presented a multiple linear regression model based on motor efficiency, speed and torque because of narrow raw data and low measuring precision when drawing motor characteristic curves. Using the least square method, the best match function was found and surface fitting of efficiency curves and characteristic curves drawing were finished by the function, and motor efficiency was simulated based on real road conditions.
出处
《大功率变流技术》
2016年第1期49-52,共4页
HIGH POWER CONVERTER TECHNOLOGY
关键词
最小二乘法
多元线性回归
曲面拟合
特性曲线绘制
效率仿真
least square method
multiple linear regression
surface fitting
characteristic-curve drawing
efficiency simulation
