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With the upgrade of carbon peaking and carbon neutrality targets to national strategies, the comprehensive green transformation of economic and social development will be promoted. Vigorous development of new energy vehicles is an important measure to achieve these dual carbon goals. The electric drive system is a vital component of new energy vehicles, and its development is a crucial stage in the process of new energy vehicle development. Efficient development methods can accelerate the development speed and facilitate faster product implementation. With the advancement of real-time simulation technology, the application of real-time simulation in the development process of new energy electric drive has become possible.
MT 8020 simulator is used to simulate vehicle electric drive system. Inverter and electric motor run on the FPGA, battery packs run on the CPU. It is connected to the real controller via physical IO interfaces, this allows users to complete electric drive system test. The simulator supports various motor models such as permanent magnet synchronous motor and asynchronous motors. It is equipped with multiple communication interfaces, facilitating the test of controller communication functions.
Motor model runs on FPGA with 1us timestep to accurately simulate motor operating characteristics.
Include DC machine, BLDC, PMSM, AC machine, DFIG,6-phase PMSM and so on.
Support 2 three-phase permanent magnet synchronous motors or 2 three-phase squirrel cage induction motors.
Support motor position sensor models including encoders, Hall sensors, and rotary transformers.
Support models such as linear motors, CPU-customized motors, and Ansys ECE motors to achieve high-fidelity online simulation of motor models.
Based on the self-developed FPGA solver by ModelingTech, it can simulate any topology inverter. Both the front-end boost converter and the back-end DC/AC inverter can be constructed according to specific requirements.
New energy vehicles often use batteries as the DC power source for inverters. The terminal voltage of the battery will vary with SOC (State of Charge), output current, and other factors. HIL simulator of ModelingTech adopts a CPU+FPGA architecture, which can simulate battery models in the CPU and supports users to build their own mathematical models for batteries, enabling simulation of various types of batteries.
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