Power Management for Connected EVs Using a Fuzzy Logic Controller and Artificial Neural Network

Round 1

Reviewer 1 Report

The authors completed a work to predict the future demand of EV, and distribute the energy between the battery and supercapacitor, in which the artificial neutral network (ANN) and fuzzy logic controller (FLC) were employed. The paper is well organized. In my opinion the manuscript needs improvements:

1. Line 113, θ is slope angle (rad)， but in Table 1, it changes into ?, same in line 266.
2. Line 118, Vw should be ?? as that in equation (2)
3. Line 182, the equation (4) or (5) should be deleted.
4. Line 269, there are two ?? and no wind speed in Table 2.
5. Line 270, “KWh” in table 2 should be “kWh”.
6. To my understanding, the work is to reduce the fluctuation of battery, it would be better to use an index to show the reduced fluctuation.
7. How long the battery lifetime can be prolonged with your work? Based on the introduction, SC is used to prolong the battery lifetime.
8. It would be better to show the SOC of battery in part 4.3
9. The main conclusion is too simple, because the battery fluctuation always can be reduced as long as the SC is employed in the system.
10. Besides the traffic lights, the distance between two cars should be considered into the future research.

Author Response

We would like to thank the reviewer and the editor for the thorough study of the paper and for the constructive remarks. We have revised our manuscript according to the reviewer’s commentary.

According to the email we have received, we understand that the revised manuscript should be done by using Ms.Word "Track Changes" feature. However, the tracking might be too sensitive, the line order might change and might lead to misunderstanding. Therefore, we upload the revised version in which we manually highlight the changes in blue font. If the  "Track Changes" feature is really necessary for this revision, we would like to provide it as well. 

We provide a point-by-point response in the attached file. Please kindly see the attachment.

Author Response File: Author Response.docx

Reviewer 2 Report

Dear Authors,

Your work could be more interesting but some issues require clarification and correction.

1. Specify in the introduction that it is a lithium-ion battery of an electric vehicle in combination with a supercapacitor. Just on page 9 in table 2, it says that a lithium-ion battery was used.
2. The abstract and conclusions are too general, need to be rewritten. Please highlight the novelty of your research.
3. The title should be changed, is too general, you write about using the fuzzy logic controller in power management.
4. A deeper literature analysis is needed - there are some papers about this topic from 2020-2021. Now it is too general, there is no presented detailed comparison of the proposed solution with other works.
5. Sections 2.1. and 2.2 are too general - in what specific way is information exchanged between vehicles? What protocol? What does the network architecture look like? Later we read that V2V is too little recognized, so why write about it? I would focus on the essence of energy management in hybrid energy storage, the problems that arise with it, a BMS structure, and the issue of ANN implementation. in chapter 2.2. I would focus on the description of energy flow in the battery and supercapacitor, what specific converters are used (buck, boost), what about the voltage in this microgrid...
6. equation (2) - there are dots or multiplication signs? If any constants are given, their values should be given (eg. C_d). Units must be corrected (superscripts).
7. Fig. 4 and 10 - cited or own elaboration?
8. Section 3.3. about used ANN is too general, please specify and highlight in which way exactly is used the prediction of power.
9. line 235 ' unalerted driver is around 2.5 seconds' - I would like to know more about that conducted research, some references are needed.
10. lines 234-240 - I would consider that statement. Currently, radar-based adaptive cruise control is used in vehicles - here the question arises, how would the information about the driving state of another vehicle be exchanged between different identification systems? It may be in the future, but let's look at the realities. This is a completely separate issue and it rather would not mention it in this study.
11. Where do the HESS data come from? I guess that the specification of the li-ion battery is from the vehicle manufacturer, but where is the data on the supercapacitor from?
12. What is the SOC level of the li-ion battery in comparison with the SOC of the supercapacitor from fig.13? More research and simulation are needed.
13. Line 285 'good simulation results' - compared to what? This term is inappropriate.
14. Lines 311-313 - any relations about future works can be included in the Discussion section.
15. Check again the text and correct some typos or missing letters - attached file.

Comments for author File: Comments.pdf

Author Response

We would like to thank the reviewer and the editor for the thorough study of the paper and for the constructive remarks. We have revised our manuscript according to the reviewer’s commentary.

According to the email we have received, we understand that the revised manuscript should be done by using Ms.Word "Track Changes" feature. However, the tracking might be too sensitive, the line order might change and might lead to misunderstanding. Therefore, we upload the revised version in which we manually highlight the changes in blue font. If the  "Track Changes" feature is really necessary for this revision, we would like to provide it as well. 

We provide a point-by-point response in the attached file. Please kindly see the attachment.

Author Response File: Author Response.docx

Round 2

Reviewer 2 Report

Dear Authors,

Thank you for taking into consideration the comments and making corrections to the manuscript. It is recommended to continue work on this issue.