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Automatically tune parameters to match measured data. Perform load flow analyses to determine steady-state conditions. Use FFT analysis to analyze the power quality of your design. Use models for the entire development process, including tests of embedded controllers. Convert your model to C or HDL code to test embedded control algorithms and controller hardware using hardware-in-the-loop tests. Perform virtual commissioning by configuring tests using a digital twin of your production system.

Convert your model to C code to accelerate individual simulations. Run tests in parallel by deploying simulations to multiple cores on a single machine, multiple machines in a computing cluster, or a cloud. Leverage advanced components and capabilities from the entire Simscape product family without purchasing a license for each Simscape add-on product.

Share protected models with external teams to avoid exposing IP. Test the integration of electrical, magnetic, thermal, mechanical, hydraulic, pneumatic, and other systems in a single environment. Identify integration issues early and optimize system level performance. Using the MATLAB based Simscape language, define custom components that capture just the right amount of fidelity for the analysis you want to perform.

Increase your efficiency by creating reusable assemblies with clear interfaces and parameterization. Enable software programmers and hardware designers to collaborate early in the design process. Use simulation to fully explore the entire design space. Communicate requirements using an executable specification for the entire system.

Find an optimal design faster by automating tasks performed on the complete system model. Use MATLAB to automate any task, including model assembly, parameterization, testing, data acquisition, and postprocessing. Create apps for common tasks to increase the efficiency of your entire engineering organization. MATLAB commands enable you to automate model construction by adding, parameterizing, and removing blocks and connections. Use Simulink to connect control algorithms, hardware design, and signal processing in a single environment.

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Continuous verification of motor requirements. A set simulations and post-processing steps are completely automated so that motor requirements can be verified after every design change. Select a Web Site. Choose a web site to get translated content where available and see local events and offers.

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Search MathWorks. Close Mobile Search. Simscape Electrical Model and simulate electronic, mechatronic, and electrical power systems. Get a free trial. View Pricing. Get Started:. What Is Simscape Electrical?. What Is Simscape Electrical? Getting Started with Simscape. Watch video Semiconductor Devices Examine switching-level characteristics, losses, system-level behavior, and thermal effects.

Tailor Models to Your Needs Select simple models to match dynamic characteristics and achieve faster simulation speeds. IGBT simplified and full models. Include Thermal Effects Specify how the device behavior changes with temperature. Linear Voltage Regulator with Thermal Effects. Linear voltage regulator with thermal effects. Motors and Drives Design control systems and verify impact of nonlinearities and heat on system performance.

Tailor Models to Your Needs Select simple models to match steady-state behavior and achieve faster simulation speeds. BLDC speed control. Include Thermal Effects Specify how actuator behavior changes with temperature. Power Networks Analyze grid-level performance in networks with renewables, power electronics, and drives.

Power Generation Model generators with synchronous and asynchronous machines. Three-phase asynchronous wind turbine generator. Power Transmission Model single and multiphase transmission lines and cables. Power Consumption Integrate rectifiers, inverters, and common converter topologies such as buck and boost. Inverting topology buck-boost converter control. Fault Tolerance Minimize losses, equipment downtime, and costs by validating design under fault conditions.

Create Robust Designs Specify the conditions under which components might fail. Perform Predictive Maintenance Generate training data to train predictive maintenance algorithms. Multi-class fault detection using simulated data. Minimize Losses Calculate the power dissipated by electrical components. Solar Power Converter. Solar power converter. Virtual Testing Verify system behavior under more conditions than with hardware prototypes.

Electric Aircraft Model in Simscape. Electric aircraft model in Simscape. Predict Behavior Accurately Choose continuous, discrete, or phasor simulation mode to analyze transient effects or voltage levels. Phasor-Mode Simulation in Simscape Components. Phasor-mode simulation in Simscape components. Automate Analyses Perform load flow analyses to determine steady-state conditions.

Initializing a Bus, 7-Power Plant Network. Instead a single cell is used, and the terminal voltage scaled up by the number of cells. The fault is represented by changing the parameters for the Cell 10 Fault subsystem, reducing both capacity and open-circuit voltage, and increasing the resistance values.

Simulate a battery pack that consists of multiple series-connected cells. It also shows how you can introduce a fault into one of the cells to see the impact on battery performance and cell temperatures. You can represent the fault by defining different parameters for the faulty cell. For the defining equations and their validation, see T. Huria, M. Ceraolo, J. Gazzarri, R. Model a thermal runaway in a lithium-ion battery pack. The model measures the cell heat generation, the cell-to- cell heat cascade, and the subsequent temperature rise in the cells, based on the design.

The cell thermal runaway abuse heat is calculated using calorimeter data. Simulation is run to evaluate the number of cells that go into runaway mode, when just one cell is abused. To delay or cancel the cell-to-cell thermal cascading, this example models a thermal barrier between the cells. An implementation of a nonlinear bipolar transistor based on the Ebers-Moll equivalent circuit. The 1uF decoupling capacitors have been chosen to present negligible impedance at 1KHz.

The model is configured for linearization so that a frequency response can be generated. The use of a small-signal equivalent transistor model to assess performance of a common-emitter amplifier. The 47K resistor is the bias resistor required to set nominal operating point, and the Ohm resistor is the load resistor.

Parameters set are typical for a BC Group B transistor. How higher fidelity or more detailed component models can be built from the Foundation library blocks. The model implements a band-limited op-amp. It includes a first-order dynamic from inputs to outputs, and gives much faster simulation than if using a device-level equivalent circuit, which would normally include multiple transistors.

This model also includes the effects of input and output impedance Rin and Rout in the circuit , but does not include nonlinear effects such as slew-rate limiting. The Op-Amp block in the Foundation library models the ideal case whereby the gain is infinite, input impedance infinite, and output impedance zero. The Finite Gain Op-Amp block in this example has an open-loop gain of 1e5, input resistance of K ohms and output resistance of 10 ohms.

As a result, the gain for this amplifier circuit is slightly lower than the gain that can be analytically calculated if the op-amp gain is assumed to be infinite. A differentiator, such as might be used as part of a PID controller.

It also illustrates how numerical simulation issues can arise in some idealized circuits. The model runs with the capacitor series parasitic resistance set to its default value of 1e-6 Ohms. Setting it to zero results in a warning and a very slow simulation.

See the User's Guide for further information. A standard inverting op-amp circuit. As the Op-Amp block implements an ideal i. A noninverting op-amp circuit. An implementation of a nonlinear inductor where the inductance depends on the current. For best numerical efficiency, the underlying behavior is defined in terms of a current-dependent flux. In order to differentiate the flux to get voltage, a magnetizing lag is included.

Simulation results are relatively insensitive to this lag provided that it is at least an order of magnitude faster than the fastest frequency of interest. An ideal AC transformer plus full-wave bridge rectifier. It converts volts AC to 12 volts DC. The transformer has a turns ratio of 14, stepping the supply down to 8. The full-wave bridge rectifier plus capacitor combination then converts this to DC. The resistor represents a typical load. Model a circuit breaker.

The electromechanical breaker mechanism is approximated with a first-order time constant, and it is assumed that the mechanical force is proportional to load current. This simple representation is suitable for use in a larger model of a complete system.

When the 20V supply is applied at one second, it results in a current that exceeds the circuit breaker current rating, and hence the breaker trips. The reset is then pressed at three seconds, and the voltage is ramped up.

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