Development of Utility Friendly Olivine Based ESS in Esstalion Technologies – Part-2
Bibliographic record
Abstract
One of the promising approaches for striking a balance of realizing sustainable society and maximizing utility’s profit is to apply energy storage system (ESS). There’re many use cases proposed (1) , such as reserve, regulation, peak shaving, time shift, load following, and renewable integration. To answer these demands, the development of a battery with high rate of charging and discharging, a longer cycle life and safe is imperative. Esstalion Technologies Inc. has developed LFP LTO technologies with outstanding long life and excellent low temperature performance. (2) It is well know that material stability of LFP and LTO is key to those properties (3) , however highly reactive surface of LTO causes undesirable reactions such as gas evolution (4) . Those degradation modes hold back the possibilities of full utilization of material stability of LFP and LTO. We investigated mechanisms of failure modes at cathode and anode interfaces. Based the mechanisms, we overcome the issues, and found unique interface structure realizes the properties of our LFP LTO technology. We propose a brief review of our technologies and we will show an example of our efforts to enhance the key properties of the Li-ion battery. References (1) Pacific Northwest National Laboratory, Protocol for Uniformly Measuring and Expressing the Performance of Energy Storage Systems (2) Y. Asakawa et al., ECS Abstract MA2017-02 112 (3) K. Zaghib, M. Dontigny, A. Guerfi, P. Charest, I. Rodrigues, A. Mauger, C.M. Julien, J. Power Sources 196 (8) (2011) 3949e3954. (4) I. Belharouak et al., J. Electrochem. Soc. 2012 volume 159, issue 8, A1165-A1170
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".