Initialize a model with terminal state of a solution?

[YiJU-thu]

Hi, I am working on optimal control of energy systems like microgrid or V2G, and I am wondering if it's possible to use PyBaMM as a digital twin to track the battery degradation.

To be specific, my ideal procedures are as follows:

1. My own algorithm will solve a (dis)charging schedule for the battery
2. Then, I want to apply such schedules to a PyBaMM model (this step, I know I can use experiment & simulation)
3. I'll use the terminal state PyBaMM gives to update the parameters in my algorithms, e.g., the battery capacity and the maximum chargingr rate may decay
4. Then, basically, do 1 & 2 again, but I want to initialize the PyBaMM model with the terminal state of step 2 (i.e., from the last iteration). I get stuck in how to do this - what parameters I need to read from the solution and use them to set the parameter_values - considering my goal stated in step 3?

Thank you in advance for your answer!

[brosaplanella]

You can use the starting_solution option when you solve, see the Starting solution section on the long experiment notebook. This notebook might also be helpful.