Package Overview

The Electric Vehicle Powertrain Simulation Package by Decibels Lab enables real-time simulation of electric vehicle behavior—from battery to wheels—within a virtual modeling platform. It bridges the gap between theoretical learning and system-level EV design by offering complete drive cycle testing, motor control logic implementation, and energy flow visualization.

Compatible with MATLAB/Simulink, this simulation suite helps in building accurate, physics-based EV models, including battery packs, power electronics, electric motors, controllers, and vehicle dynamics.

Perfect for academic labs, EV-focused coursework, and R&D programs in automotive engineering.

Package Features


Specification Details
Product ID DB-EV-SIM-01
Type MATLAB & Simulink-Based EV Powertrain Simulation Package
Simulation Models Included - Quasi-static Simulation Package- Dynamic Model Simulation Package
Drive Cycles - 4 Standard Drive Cycles- 4 Real-Time Drive Cycles
Platform Compatibility MATLAB & Simulink
Configured Parameters EV Powertrain Parameters – Pre-configured for immediate simulation
Sample Project Report 1 Sample Project Report Included
Training Access Online Course Access (1-Year Validity) – Covers usage, simulation setup, and analysis techniques
Application Simulation of Electric Vehicle Performance, Research, and Student Projects
Ideal For EV Engineers, Researchers, Academic Institutions, and Simulation Enthusiasts

Key Experiments You Can Perform

This platform enables rich experimental learning

  • System-Level Powertrain Design

    Build custom EV powertrains based on performance goals.

  • Energy Flow Visualization

    Track how energy is consumed, regenerated, and distributed.

  • Battery Behavior Modeling

    Simulate SoC, degradation, and thermal behavior under dynamic load.

  • Control Algorithm Testing

    Develop and validate motor control logic and throttle strategies.

  • Drive Cycle Evaluation

    Assess vehicle performance under urban, highway, or custom cycles.

  • Project-Based Learning

    Ideal for M.Tech, PhD, and final-year engineering projects.