Giter Site home page Giter Site logo

motor-temperature-estimation's Introduction

Electric motor temperature estimation

In this notebook:

  • About the dataset
    • Background
    • Inspiration
    • Dataset characteristics
    • License
  • Theory
    • Construction of a synchronous motor
    • Parks transformation
  • Project
    • Libraries
    • Loading data
    • Data analysis
    • Visualisation
    • Correlation heatmap
    • Molding data
    • Splitting data
    • Building the model
    • Model evaluation
    • Application of moving average
    • Saving the model
    • Conclusion

About the dataset

Background

The data set comprises several sensor data collected from a permanent magnet synchronous motor (PMSM) deployed on a test bench. The PMSM represents a german OEM's prototype model. Test bench measurements were collected by the LEA department at Paderborn University. This data set is mildly anonymized.

The motor is excited by hand-designed driving cycles denoting a reference motor speed and a reference torque. Currents in d/q-coordinates (columns "id" and iq") and voltages in d/q-coordinates (columns "ud" and "uq") are a result of a standard control strategy trying to follow the reference speed and torque. Columns "motor_speed" and "torque" are the resulting quantities achieved by that strategy, derived from set currents and voltages.

Most driving cycles denote random walks in the speed-torque-plane in order to imitate real world driving cycles to a more accurate degree than constant excitations and ramp-ups and -downs would.

Inspiration

The most interesting target features are rotor temperature ("pm"), stator temperatures ("stator_*") and torque. Especially rotor temperature and torque are not reliably and economically measurable in a commercial vehicle.

Being able to have strong estimators for the rotor temperature helps the automotive industry to manufacture motors with less material and enables control strategies to utilize the motor to its maximum capability. A precise torque estimate leads to more accurate and adequate control of the motor, reducing power losses and eventually heat build-up.

motor-temperature-estimation's People

Contributors

zygfrydiens avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.