Hello,
I am interested in modelling lithium-ion batteries to provide primary frequency control as well as arbitrage trading. Based on grid freqencies and price curves I obtained a State-of-Charge-curve (SOC) for every timestep. I wanted to use the aging model described in the paper by Schmalstieg et al. (2014) (A holistic aging model for Li(NiMnCo)O2 based 18650 lithium-ion batteries) to calculate the capacity fading and state of health of the battery in every timestep. However, when I apply the Total fit functions described page 330 I get unsatisfying results. For example, when doing arbitrage trading on the day ahead market the battery does around 300 equivalent full cycles. The model gives me a state of health of minus 5. After around 15 days the battery has already dropped below 80% of its original capacity. I applied the equations to every time step on an hourly basis. What am I doing wrong?
- Badges
- Science topic
- Similar topics
- Biological Science
- Bioecology
- Systems Ecology
- Landscape Ecology
- Connectivity