Assists design steps during the entire process of developing electric drives.
This library covers the key components of an electric drive system, i.e. controller (e.g. field oriented control), modulation method (e.g. space-vector modulation), inverter, electric machine. Includes thermal models of the inverter and the electric machine to predict the temperature based on the calculated losses. The Modelica Electrified Power rain library accelerates the design, simulation and validation of:
All types of powertrain traction drive systems for the automotive, truck, tram, train and marine applications.
Servo drive systems for robotics, machine tools, industrial automation and aerospace applications.
Variable speed drives, e.g. electric pump and fan drive systems, air-conditioning systems, paper making and handling systems, elevator systems, automotive application, and much more.
Benefits
Rapid analysis of the impact of different powertrain configurations.
Simulate and validate the behavior of complex multi-physics electrified powertrain systems quickly and easily.
Validate power management system choices by taking into account the charging and discharging performance of fuel cells and batteries, their interaction with electric drives, their control strategies and other vehicle powertrain systems.
Reuse hierarchical system models across multiple system configurations for to allow for maximum agility in defining new electrified powertrain systems.
It is possible to select required driving cycle from set of different predefined driving cycles available in library
Early stage system design based on comparably simple models
Highlights
Speed/torque controller design of electrified powertrains
Loss estimation of inverter and electric machine and thermal simulations
Study the effects Voltage and current ripple effect
Compute the system energy consumption
Overload capability estimation based on thermal models
Investigate on system properties based on detailed physical models
Generate fast-running table-based models from detailed physical models
Analysis of different powertrain configurations
Controller development and design
