FPGA-Based VFF-RLS Algorithm for Battery Insulation Detection in Electric Vehicles

Round 1

Reviewer 1 Report

Comments and Suggestions for Authors

The manuscript is well-written and might be interesting for a narrow audience.  However, several issues must be improved:

1. It would be beneficial if the "battery" insulation were mentioned in the title. 

2. The abstract, especially the first part, must be re-written. The goal of the abstract is to provide information regarding the content of the paper, but now it seems to be the beginning of the introduction. 

3. On Page 4 Authors write //After conducting a thorough literature study [18–25], this paper concentrated on battery insulation detection for safety concerns.//This is not correct from the research point of view. A deeper analysis of references should be done. Moreover, some conclusions (determination of the research gap) are expected. 

4. The methodology is well presented, and there are no issues detected. 

5. The result section must be reviewed. There is a good analysis of the simulation presented. However, it is not clear, if the achieved results are good or bad, e.g. if the error is -3 to 4.6 is it better than -5 to 7?

6. Figures 10-13 must be presented in a better way. Try to use the import function. 

7. The conclusion must be rewritten, considering the research gap and the results section. 

Author Response

Respected sir,

Please kindly see the attached response sheet.

Author Response File: Author Response.pdf

Reviewer 2 Report

Comments and Suggestions for Authors

The problem treated in the paper FPGA-based VFF-RLS Algorithm for Insulation Detection in Electric Vehicle complements the paper Insulation Detection of Electric Vehicles by using FPGA-based Recursive-Least-Squares Algorithm with the authors Mahipal Bukya 1,2†* , Rajesh Kumar 2,† Bhukya Soumyamishra 3,† and Akhilesh Mathur (number 12 in the reference list). As a result, it is necessary to rewrite the paper starting from this reality.

 

Author Response

Respected sir,

Please kindly see the attached response sheet

Author Response File: Author Response.pdf

Reviewer 3 Report

Comments and Suggestions for Authors

 

1.

“However, the existing detection methods for electric vehicle insulation resistance, including comprehensive detection and fault location, are inadequate for meeting the growing demands for electric vehicle insulation detection.”

Please explain in detail why the existing electric vehicle insulation resistance testing methods, including comprehensive detection and fault location, are insufficient to meet the growing demand for electric vehicle insulation testing.

 

2.

“Voltmeter measurements are only accessible offline.”

Please elaborate on why voltmeter measurements are only accessible offline.

 

3.

“We examined the extended Kalman filter (EKF) and the unscented Kalman filter (UKF) [26] to estimate the insulation resistance using the voltage injection model. This approach enhances the precision of the detection outcomes.”

Please explain in detail why Extended Kalman Filter (EKF) and Unscented Kalman Filter (UKF) improve the accuracy of detection results.

 

4.

“This is advantageous for adaptive filter algorithms because it enables parallel computing of filter coefficients, resulting in faster processing times.”

Please explain in detail why the adaptive filter algorithm can calculate filter coefficients in parallel, thereby reducing processing time.

 

5.

“Verified the accuracy of the FPGA outcomes by comparing them to the Matlab simulation results found in the current literature.”

Please explain in detail why by comparing FPGA results with Matlab simulation results currently available in the literature.

Please explain in detail why not by comparing FPGA results with experimental results.

 

6.

“The necessity for dynamic modification of this parameter, in particular, may have a significant influence on the algorithm’s adaption rate. The EFF-RLS approach is usually recognized as more computationally efficient when used to small to medium sized problems.”

Please elaborate on why the EFF-RLS method is generally considered more computationally efficient when solving small to medium-sized problems.

 

Author Response

Respected sir,

Please kindly see the attached response sheet.

Author Response File: Author Response.pdf

Round 2

Reviewer 2 Report

Comments and Suggestions for Authors

The comments and observations are presented in the attached review report.

Comments for author File: Comments.pdf

Author Response

Dear sir/Madam,

Please kindly see the response sheet.

 

Author Response File: Author Response.pdf

Reviewer 3 Report

Comments and Suggestions for Authors

Accept in present form.

Author Response

Thank you for comments and acceptance