Developing Mathematical Models of Batteries in MapleSim for Energy Storage Applications
In this paper, effective and systematic steps in the mathematical modeling of high-fidelity battery models for simulating energy storage systems (ESS) will be presented.
Model-Driven Innovation in Machine Design
How virtual prototyping and dynamic load analysis can help you to reduce machine design costs and get to market faster.
Nonlinear Model Predictive Control - Model-Based Automatic Code Generation
This technical whitepaper presents an automatic workflow for implementing MPC controllers.
Development of Real-Time Battery Models for HIL testing of Battery Management Systems (BMS)
In this paper we will cover the development of a Hardware-in-the-Loop (HIL) testing system for the Battery Management Systems (BMS) used in one of our client's larger electrical energy storage products, targeting the Smart Grid and UPS markets.
Modern techniques bring system-level modeling to the automation industry
This paper highlights how the modern technologies incorporated in MapleSim benefit system-level design in general.
Changing Face Of Robotics
Mechatronics and symbolic model formulation techniques are driving innovation
in the robotics field, from humanoid robots to autonomous cars, and beyond.
Advanced Symbolic and Numeric Techniques for Machine Vibration Analysis
This paper illustrates some of the advantages of using sophisticated lumped mass models combined with experimental measurements for vibration analysis.
Battery Design Innovation: It’s all about the Mathematics
MapleSim provides an ideal environment for rapid development of complex multi-domain physics-based models of any product that mixes electronics with mechanical components.
Inverse Kinematic Problem Solving: A Symbolic Approach Using MapleSim and Maple
Discover how to obtain a symbolic solution to the inverse kinematics problem for a Stewart-Gough parallel link manipulator using tools available in MapleSim.
Discretizing PDEs for MapleSim
This paper uses the heat equation to illustrate the process, showing how it can be discretized with the finite difference method in Maple for simulation in MapleSim.
Symbolic Techniques for Model Code Optimization:
Symbolic technology provides a physical modeling technique that significantly improves model fidelity without sacrificing performance. In this paper, this approach is illustrated using examples that take advantage of the FMI standard for model exchange and co-simulation.