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 ✉ e-mail me
📞 + 44 7587 159 875

I have read a lot about data analytics (DA) and have had discussions with several DA companies. Experts in DA are really sceptical over the ability of BMS to measure (they tend to use the worrying word “estimate”) State-of-Charge. Hitherto, I have not come across a straightfoward and easy to read explanation for this scepticism-till now. Accure have a Whitepaper (from Oct 2024) that provides a really easy to read and informative discussion as to why estimating the SoC of lithium-ion batteries in general, and LFP batteries in particular, is so challenging. Both underestimation and overestimation of SoC is possible (even likely). My only criticism is that the white paper mentions only the commercial consequences of the failures, not the potential safety consequences e.g. of underestimating SoC. Thus, following the explosion of the McMicken BESS in Surprise, Arizona in April 2019, undamaged cells were analysed and found to have lithium metal plating, suggesting routine overcharging had taken place: cells in a sister BESS at a second location were also found to have such deposits. Obviously, the white paper goes on to highlight the advantages of the Accure DA approach: nevertheless-kudos for seeking to present a really extremely important and topical subject in clear and interesting prose.

Overcoming SOC Inaccuracies in LFP Batteries: How to Increase Revenue and Simplify Operations

The causes SOC estimation errors in LFP batteries; Where traditional BMS fall short in calculating an accurate SOC How to get near real-time SOC estimates within +/-2% of actual SOC using cloud-based predictive analytics

www.accure.net