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Comparing Battery Models

Comparing Battery Models. With Nico Peterschmidt of ? University, we have compared the predictions of our battery software with empirical battery behavior. In particular, we looked at the predicted and measured battery lifetimes with two commercially available batteries (BAE models OGi, OPzS).

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Comparing Battery Models

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  1. Comparing Battery Models • With Nico Peterschmidt of ? University, we have compared the predictions of our battery software with empirical battery behavior. • In particular, we looked at the predicted and measured battery lifetimes with two commercially available batteries (BAE models OGi, OPzS).

  2. The KiBAM and Rainflow Models • Our standalone battery model uses the Kinetic Battery Model (KiBAM) to simulate battery power response under load. • For battery lifetime, we use a variation of Miner's rule to count cycles and total cyclical battery damage. • We find the load cycles from the battery's state-of-charge vector which is reduced to a series of peaks; cycles in the peaks are counted using Socie's Rainflow algorithm.

  3. Model Input: Empirical Battery Data(i.e. what we started with)

  4. Initial Results Are Promising/Reassuring/OK • It was found that our battery model overestimates the battery lifetime by 40-60%. • The results are reasonable given: • The simplicity of the model; • The modest input requirements needed for modeling: for a given battery, 4-6 constant current charging and discharging curves, V vs. Ah, are sufficient to derive KiBAM parameters and start the simulation.

  5. Battery Model Software, Example

  6. Other Systems Modeling Work • We are re-writing the Hybrid2 software with several aims: • Be able to handle more complex systems, including DG situations. • The software itself will be modernized and streamlined using fully object-oriented design. • The software will be written as a web-based application for ease of deployment and maintenance.

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