The Data Fitting of Motor Back-to-Back Test Based on Least Square Method

DOI

10.2991/icmse-18.2018.40How to use a DOI?

Keywords

Back-to-Back test; MATLAB; Curve Fitting

Abstract

The driving motor is the direct power source of electric vehicle, and speed、torque、work efficiency of motor have a great influence on the matching of vehicle powertrain. The back-to-back motor test not only can detect some key parameters, but also can detect the motor performance is good or bad. However, the original test data can’t reflect the essence of the test directly, and through the fitting of test data, we can not only get the functional relationship that meets the data, but also understand mathematical and physical meaning reflected by data better. Therefore, the fitting of test data is essential. This paper is based on least squares theory, two curve fitting method in MATLAB are chosen to fit the back-to-back test data, and the analysis of fitting effect graph and fitting function shows that the two curve fitting methods can work.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Guibin Sun
AU  - Fei Guo
PY  - 2018/05
DA  - 2018/05
TI  - The Data Fitting of Motor Back-to-Back Test Based on Least Square Method
BT  - Proceedings of the 2018 8th International Conference on Manufacturing Science and Engineering (ICMSE 2018)
PB  - Atlantis Press
SP  - 204
EP  - 209
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmse-18.2018.40
DO  - 10.2991/icmse-18.2018.40
ID  - Sun2018/05
ER  -