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[L-MO-108] Motor Performance Evaluation Considering Control
At the motor component design stage, motor performance is evaluated using an ideal sinusoidal current.
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[L-OP-107] Parameterize the Number of Poles and Slots
In the initial stage of motor design, combinations of various motor types, numbers of poles, and numbers of slots are considered to find a design that meets the requirements. When…
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[L-MO-106] Prototype and Performance Evaluation with Model-based Efficiency Map (Accuracy Priority Mode)
The maximum efficiency of the drive motor for EV vehicles exceeds 95%. As further efficiency improvement is in the order of 1%, the efficiency error with the actual machine in the…
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[L-MO-105] System Design with Model-based Efficiency Map (Speed Priority Mode)
Electrical Vehicle drive require high efficiency of 95% or more over a wide operating range.
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[L-MU-91] NVH analysis of EV drivelines with JMAG and Romax Nexus
NVH is the one of most critical issues in the drivelines development of EV/ HEV. There are several points to be considered for the NVH analysis of the driveline. To evaluate the N…
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[L-OP-61] Smooth and robust optimization process in JMAG
The optimization is indispensable in machines design. Especially the optimization must consider not only the magnetic design issues but also the mechanical and the thermal design …
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[L-OP-03] Multi-Objective Optimization with JMAG
It is even possible to analyse the relationship between design variables and response values in a correlation graph by visualizing the design space from optimization calculation r…
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[L-MB-36] Highly-Accurate Estimation of Motor Behavior Using Detailed Motor Characteristics Obtained from JMAG-RT
In order to achieve high responsiveness in motor control, it is necessary to accurately predict the behavior of a running motor. Since motor parameters used in observer models are…
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[L-MB-33]Supporting Motor Drive Development with a JMAG-MATLAB/Simulink Coupling
Together with Mathworks, the company that develops MATLAB/Simulink (hereafter referred to as "Simulink"), JMAG strongly supports model-based development (hereafter referred to as …
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[L-MO-29] Creating Efficiency Maps with JMAG (FEA)
JMAG now offers a tool which uses finite element analysis (FEA) calculations to output an efficiency map. The advantage of using FEA to calculate an efficiency map is accuracy. In…
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[L-MB-32] Simulating Responsiveness of Electric Machinery During Control with High Accuracy Using a Direct Coupling Analysis
For machines requiring high-speed responsiveness for controllers such as solenoid valves and injectors, level of accuracy required in simulation have increased following the advan…
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[L-MB-28] The Incorporation of JMAG into Model Based Design
The JMAG-provided plant model (JMAG-RT) simulates the characteristics of an actual machine with high-fidelity information, acquired by means of FEA, and realizes a highly reliable…
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[L-MU-93] JMAG/Adams/Simulink Coupled Vehicle Drive Simulation
Generally, it is said that drive motors used in electric cars have less vibration than engines, however, vibration caused by torque ripple may be transmitted to the entire vehicle…
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[L-MU-92] JMAG/Particleworks Coupled Motor Cooling Analysis
Motor temperature control is an important issue. Due to temperature rise, demagnetization occurs in PM motor magnets leading to a loss of high efficiency.
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[L-SE-81]Mesh Verifications at Higher Speeds
The speed of JMAG mesh creation functions has been made even faster. With the new mesher, checking contact recognition and interference on free-form surfaces, etc., and pre-proces…
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[L-OP-78]User-Defined Geometry Library
The geometry library that manages model geometry used in analyses has been newly added to JMAG. Users can register / share created geometry information themselves. It is possible …
