How to Create Efficiency MAP Diagrams for Electric Vehicles Using MATLAB

This article explains how to create MATLAB M-functions for generating efficiency MAP diagrams for electric vehicles. Efficiency MAP diagrams are crucial visualizations that help analyze an electric vehicle's energy utilization efficiency under various operating conditions. To construct these diagrams, engineers need to collect energy efficiency data across different operational scenarios and then process this data using MATLAB M-functions to generate comprehensive efficiency maps. The implementation typically involves using MATLAB's matrix operations and visualization functions to create contour plots representing efficiency distributions. Key functions like meshgrid() are employed to create coordinate matrices, while contourf() or pcolor() functions generate the colored efficiency maps. Data interpolation methods such as griddata() may be used to create smooth continuous surfaces from discrete data points. This guide will detail the complete workflow: from importing and preprocessing experimental data using functions like readtable() or xlsread(), to implementing algorithms for efficiency calculation, and finally creating professional visualizations with proper labeling using title(), xlabel(), and colorbar() functions. We'll also cover how to interpret the resulting diagrams, including identifying peak efficiency regions and understanding efficiency variations across different torque-speed combinations. The M-function structure will include proper input validation, error handling, and customizable plotting parameters to ensure robust and flexible implementation for various electric vehicle configurations.