Battery Model Parameter Identification: Practical Workflow in Amesim

A common practical bottleneck in EV/battery system modeling isn't building the battery model topology — it's identifying accurate parameters efficiently. Siemens' Simcenter blog documents the intended practitioner workflow using Amesim's dedicated identification tooling, which goes beyond what's in the standard model-building tutorials.

The Battery Electro-Thermal Identification Tool

Workflow:

1. Input: battery test profiles — current, voltage, and temperature over time. Crucially, this data can come from either real experimental testing on a physical battery, or from simulating a more complex/detailed model (e.g., an electrochemical model) — giving flexibility when physical test data isn't yet available (e.g., early in a program) or is expensive to collect.
2. Guided extraction stages: data import → capacity calculation → electrical/thermal model parameter extraction, all steps guided by the tool rather than manual curve-fitting.
3. Output: the tool produces model parameters as tables indexed by state of charge (SOC), current, and temperature — directly consumable by Amesim's battery equivalent-circuit models, with no manual reformatting needed.

Why this matters: the accuracy/speed trade-off

The blog frames this squarely as solving a real engineering trade-off: achieving a good balance between accuracy and fast computation time, which is specifically necessary for Software-in-the-Loop (SiL) and Hardware-in-the-Loop (HiL) testing. A common real-time-compatible approach mentioned: pairing a battery equivalent circuit model with a thermal model, rather than running a full electrochemical model in real time (which would generally be too slow).

Complementary tool: Battery Test Protocol Generator (2022.1+)

Introduced in Amesim 2022.1, this tool addresses the upstream question — before you can identify parameters, you need the right experimental test protocol. It helps determine which specific experimental tests will actually extract the parameters you need, rather than engineers designing test protocols ad hoc and discovering afterward that the data doesn't support the parameter extraction they wanted.

Practical takeaway

For anyone building a battery/EV model in Amesim: don't hand-fit equivalent-circuit parameters from raw test curves. Use the Battery Electro-Thermal Identification Tool to go from raw current/voltage/temperature profiles straight to SOC/current/temperature-indexed parameter tables, and consider the Battery Test Protocol Generator up front if you're still designing your test campaign — it can save redoing tests that turn out not to identify the parameters you actually need.

Source: How to accurately identify the battery model parameters while saving engineering time – Simcenter blog