Battery Energy Storage Systems? Software
Test your BMS at the cell and stack level
It doesn’t matter if your battery system will energize a car, ship or will support the grid: your storage solution needs a battery management system (BMS) that works. With Typhoon HIL simulators, you can model battery performance at the cell level for anything from small battery setups with only a dozen cells to large battery systems with thousands of interconnected cells and modules, considering:
- State of Charge (SOC)
- State of Health (SOH)
- Cell temperature
- Common fault cases (Cell short circuits, sensor faults, cell thermal runaway, etc.)
High-fidelity BESS models means mastering power electronics converter control. Our pre-built inverter models let you calculate both switching and conduction (MOSFET) power losses in real-time with a sampling frequency as high as 3.5 nanoseconds with just the manufacturer’s datasheet.
Build a test solution that controls real inverters and grid protection equipment from EPC Power, Hitachi ABB, and others straight out of the box, thanks to our HIL Compatible offering.
Use our control models with built-in optimization logic or import your own control scheme by uploading DLL files directly into the model. Generic Battery components with built-in FRT behavior let you scale up your model.
Spend less time on PHIL tests, and approach them with more confidence
PHIL tests are noisy, expensive, and potentially risky. With Typhoon HIL high-fidelity models, you can pre-validate performance of your planned PHIL tests with your real controller code to address critical issues before you risk damaging real equipment. This means safer PHIL tests with less failures, resulting in huge cost and time savings in the lab testing phase. You can even test controller performance in conditions that are very difficult to replicate in the lab, such as phase-to-ground brownouts and island mode conditions.
Save development costs with Test Automation and API testing
Building your model is one thing, but testing and controlling it is where the real fun is. When it comes to HIL testing, covering a wide variety of test cases quickly is the best way to gain confidence that your BESS and control system will behave as expected in the real world.
Typhoon HIL’s powerful built-in Test Automation tools lets you quickly build tests with an intuitive GUI. Or just deploy your own Python code directly in the interface. After running the tests, interactive Allure reports let you quickly assess the details of every test case, so you can build your next rapid control prototype.
Our Typhoon API makes this even easier, letting you control models in real-time and run test cases directly from the command line. After all, it is just Python- no proprietary formatting to learn or lock you in.
Spend less time on PHIL tests, and approach them with more confidence
PHIL tests are noisy, expensive, and potentially risky. With Typhoon HIL high-fidelity models, you can pre-validate performance of your planned PHIL tests with your real controller code to address critical issues before you risk damaging real equipment. This means safer PHIL tests with less failures, resulting in huge cost and time savings in the lab testing phase. You can even test controller performance in conditions that are very difficult to replicate in the lab, such as phase-to-ground brownouts and island mode conditions.
Save development costs with Test Automation and API testing
Building your model is one thing, but testing and controlling it is where the real fun is. When it comes to HIL testing, covering a wide variety of test cases quickly is the best way to gain confidence that your BESS and control system will behave as expected in the real world.
Typhoon HIL’s powerful built-in Test Automation tools lets you quickly build tests with an intuitive GUI. Or just deploy your own Python code directly in the interface. After running the tests, interactive Allure reports let you quickly assess the details of every test case, so you can build your next rapid control prototype.
Our Typhoon API makes this even easier, letting you control models in real-time and run test cases directly from the command line. After all, it is just Python- no proprietary formatting to learn or lock you in.