A pseudo-OCV plot typically refers to a graph that represents the relationship between the state of charge (SOC) of a battery and its voltage under pseudo-equilibrium conditions. Unlike a true OCV (Open-Circuit Voltage), this plot might include slight dynamic effects influenced by slow transient processes or simulation models.

To simulate a Pseudo-OCV plot or battery performance, we can use Python with relevant libraries like NumPy, Matplotlib, and optionally a battery modeling library such as PyBaMM (Python Battery Mathematical Modeling). Below is an example implementation that simulates a Pseudo-OCV plot for a lithium-ion battery based on a hypothetical SOC-OCV relationship.

🧠Example-1

https://gist.github.com/viadean/964843ea08d25ca81ad8c7c70387ac17

How It Works:

1. SOC Range:
   • The soc variable defines the state of charge from 0% to 100% (normalized as 0 to 1).
2. Hypothetical Pseudo-OCV Model:
   • A mathematical function (pseudo_ocv) simulates the voltage behavior of a lithium-ion battery as a function of SOC.
   • The model includes:
     • A base voltage.
     • A linear increase in voltage with SOC.
     • Exponential terms to simulate the steep voltage rise and drop at low and high SOC.
3. Plot:
   • The code uses Matplotlib to visualize the relationship between SOC and voltage.

Output:

The output is a plot showing the Pseudo-OCV curve, typically with:

• A steep rise at low SOC (0–20%).
• A relatively flat plateau in the mid SOC range (20–80%).
• A steep rise again at high SOC (80–100%).

🧠Example-2

Below is an example of how to use PyBaMM (Python Battery Mathematical Modeling library) to simulate a battery's Open-Circuit Voltage (OCV) curve. This simulation will focus on creating an OCV-SOC plot for a lithium-ion battery using PyBaMM's built-in models.

https://gist.github.com/viadean/9a1b3eb36cbd2baaf7a4fed0025f21b3

Explanation of the Code:

1. PyBaMM Model Setup:
   • The pybamm.lithium_ion.SPM() model is used, which is a simplified single-particle model for lithium-ion batteries.
   • Parameters like discharge/charge rates and voltage limits are set using the pybamm.Experiment() class.
2. Simulation:
   • The simulation discharges the battery at a low rate (C/20) to capture the relationship between SOC and voltage under near-equilibrium conditions.
   • It then charges the battery back to 100% SOC.