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Are you facing challenges with "Battery Control and State Estimation" in embedded, automotive, and robotics systems? ● Unable to accurately estimate the state of the battery (SOC) ● Concerns about control accuracy and safety due to the effects of temperature and degradation ● Development reliant on actual machine testing, leading to time and cost in verification ● No practical battery model available for embedded environments ▼ Leave it to our battery model / BMS model! ―― Features ――――――――――――――――――――――― ◆ High-precision SOC estimation using a battery model that reflects actual machine characteristics ◆ A model that considers temperature and degradation, contributing to improved safety and control performance ◆ Implementable as a BMS model that operates in embedded and automotive ECU environments ――――――――――――――――――――――――――――― This is a battery model / BMS model solution for embedded devices. In the fields of automotive equipment, industrial equipment, and robotics, it enables battery state estimation, degradation assessment, and control algorithm verification through simulation and on actual embedded devices.

■Do you have any of these concerns? - It takes time to build a simulation environment for BMS development. - I want to verify the validity of the control specifications before the actual device is completed. - I want to evaluate the SOC estimation algorithm early. - I want to shorten the development period for EVs and battery storage systems. - I want to conduct pre-validation in HILS or MILS environments. - I want to use models that reflect battery cell characteristics. - I want to conduct abnormal system tests in a safe environment. - I want to promote model-based development using MATLAB/Simulink. The Battery/BMS Model Library solves these issues! It is a MATLAB/Simulink-compatible model library that supports improving design efficiency in battery system development. ■Features of the Battery/BMS Model Library ✓ Enables model development that reflects battery characteristics. ✓ Supports flexible configuration changes. ✓ Models BMS functions. ✓ Streamlines model-based development (MBD).