A State-of-Charge Estimation Method Based on Multi-Algorithm Fusion
Round 1
Reviewer 1 Report
The topic is of interest but the paper needs a lot of improvements.
1. First of all, the Introduction Section is poorly structured. It's a actually one long paragraph and it's difficult to jump from the reason to the scope and contributions.
2. Furthermore, since you are dealing with multi-algorithm approaches for SOC estimation the following paper must be included as well, it's a recent job with a hybrid SOC estimation aproach. Misyris, George S., et al. "State-of-charge estimation for li-ion batteries: A more accurate hybrid approach." IEEE Transactions on Energy Conversion 34.1 (2018): 109-119.
3. How is the selection of a first-order RC ECM justified against other kinds of ECMs ? That needs to be clarified.
4. More details regarding the experimental conditions setup are needed. Type of battery cells used, operation conditions, equipment used etc.
5. The conclusions section is poor. That needs a significant improvement, it's practically only 2 sentences.
6. Is temperature taken into account in the implementation presented here?
7. What about the computational burden of the proposed implementation? How it is compared with other solutions? Is it light enough to run as an online solution?
Author Response
Please see the attachment.
Author Response File: 
Author Response.pdf
Reviewer 2 Report
The authors presented an interesting work on the SoC estimation of Li-ion cells. I recommend the manuscript for publishing, however with some important revisions.
1. The abstract should give more details on the results obtained in this work
2. The manuscript needs English revision, as many spelling and missing words in the sentences where observed.
3. The equations in the manuscript need to be better displayed, as for some it is difficult to distinguish among the nominators and denominators etc.
4. The presented parameters for offline modeling, shown in Table 1, need to be further explained. Which method is used for their calculation?
5. The figures should have better quality, especially the zoomed subfigures are quite difficult to understand.
6. The conclusion needs to be enhanced.
Author Response
Please see the attachment.
Author Response File: Author Response.pdf
Reviewer 3 Report
Dear authors,
I appreciate very much your efforts involved in the present research work. I found that the topic is of high scientific soundness. The presentation is of good quality. The performance of the SOC estimation method proposed based on multi-algorithm fusion is of real interest to a large community of readers, implementers, and scientists working in the field. Since remains enough room for improvement in the quality of the manuscript, I want to address the following comments and suggestions:
- Please, in Table 2, for the H-infinity algorithm, write the equations in the third step for time scaling update.
- For implementers, it is beneficial to specify the values of the parameters that fit the OCV-SOC equation (3).
- Also, for implementers is useful to precise the software package and its version used for simulations.
- A rigorous robustness and SOC estimation accuracy analysis for changes in the SOC initial values, battery capacity, and the battery's internal resistance is of high interest.
- It is useful to insert a Table with all acronyms and abbreviations into the manuscript's text.
- Please add the new research direction in your future work in the Conclusion section.
Author Response
Please see the attachment.
Author Response File: Author Response.pdf
Round 2
Reviewer 1 Report
The authors addressed my comments/concerns. No further comments
Reviewer 2 Report
No further comments. I agree for publication.
