{
  "parameters": {
    "I_charge_1": {
      "bounds": [-5.0, -0.5],
      "initial_value": -2.0
    },
    "I_charge_2": {
      "bounds": [-5.0, -0.5],
      "initial_value": -1.5
    }
  }
}

{
  "objectives": {
    "charge_objective": {
      "experiment": "...",
      "metrics": {
        "charge_time": {
          "action": "Minimize",
          "weight": 1.0,
          "metric": {
            "type": "Time",
            "variable": "Time [s]",
            "value": -1
          }
        }
      },
      "constraints": {
        "anode_potential": {
          "action": "GreaterThan",
          "penalty": 1000000,
          "metric": {
            "type": "Minimum",
            "variable": "Anode potential [V]"
          },
          "value": 0
        }
      }
    }
  }
}

- CC Charge Step 1:
    - Charge:
        mode: Current
        value: Input["I_charge_1"]
        ends:
          - "Voltage > 4.0"
- CC Charge Step 2:
    - Charge:
        mode: Current
        value: Input["I_charge_2"]
        ends:
          - "Voltage > 4.2"
- CV Hold:
    - Charge:
        mode: Voltage
        value: 4.2
        ends:
          - "C-rate < 0.05"

# Specific energy (Wh/kg)
pybamm.Variable("Energy [Wh]") / pybamm.Parameter("Cell mass [kg]")

# Anode surface potential difference
pybamm.CoupledVariable("Negative electrode surface potential difference [V]")

{
  "type": "SOC",
  "variable": "Time [s]",
  "value": 0.8
}

{
  "type": "Time",
  "variable": "Voltage [V]",
  "value": [60, 300, 600, -1]
}