Here's a step-by-step guide to help you integrate an SOH estimator into the HEV P2 Reference Application:
Step 1: Understand the Existing Model
- Open the HEV P2 Reference Application
- Explore the Model:
- Familiarize yourself with the different subsystems, especially the battery management system (BMS) and the energy management system (EMS).
- Identify where the battery's state of charge (SOC) is being calculated and managed.
Step 2: Create or Obtain an SOH Estimator
An SOH estimator can be created based on various algorithms and methods, such as:
- Empirical models
- Data-driven models
- Physics-based models
For simplicity, let's assume you have an SOH estimator function or block ready to use.
Step 3: Integrate the SOH Estimator into the Model
Add the SOH Estimator Block:
- Open the HEV P2 Reference Application model in Simulink.
- Navigate to the appropriate subsystem where the battery management is handled.
- Drag and drop your SOH estimator block into this subsystem. If you don't have a block, you can create one using a MATLAB Function block or a custom subsystem.
Connect the SOH Estimator:
- Identify the inputs required for the SOH estimator (e.g., battery voltage, current, temperature).
- Connect these inputs to the corresponding signals in the model.
- The output of the SOH estimator will be the SOH value. Connect this output to where it is needed in the model, such as for diagnostics or further calculations.
Example code for integration:
add_block('simulink/User-Defined Functions/MATLAB Function', 'hevP2Ref/SOH Estimator');
set_param('hevP2Ref/SOH Estimator', 'MATLABFcn', ...
'function soh = estimateSOH(voltage, current, temperature) \n' ...
'% Example SOH estimation logic \n' ...
'soh = 100 - (voltage * 0.1 + current * 0.05 + temperature * 0.02); \n' ...