Fuzzy Logic Control of External Heating System for Electric Vehicle Batteries at Low Temperature

Round 1

Reviewer 1 Report

This paper proposed a rule-based method to heat the battery in a battery pack. Experiments and simulations showed the feasibility of the proposed method. The paper can be accepted before the following concerns are considered.

1. in figure 6, it is recommended that the y-axis label should avoid using the capacity for the unit of the traditional definition of the capacity is Ah.

2. In figure 12a, the initial temperature in the figure is -20℃ instead of -30℃ in the following description.

3. it seems that figure 15 is the same as figure 14. Please check it.

Author Response

Dear reviewer, we have addressed all of your concerns, and modifications in the manuscript are highlighted by yellow color for your convenience.

Author Response File: Author Response.docx

Reviewer 2 Report

This paper is focused on Fuzzy Logic Control of External Heating System for Electric Vehicle Batteries at Low Temperature. The subject matter of this manuscript fits the journal's scope, and the information included in the manuscript seems not to have been published in any other publication so far. However, it seems difficult to adequately evaluate the value of this study because the explanation of the significance of the study, the description of the interpretation and usefulness of the results obtained by the analysis, and the explanation of the model are insufficient. I would like to ask the authors to consider responding to the following comments:

(1)    Would you explicitly specify the novelty of your work? What progress against the most recent state-of-the-art similar studies was made?

(2)    The Introduction section should be improved. It should be dedicated to presenting a critical analysis of state-of-the-art related work to justify the study's objective. In addition, critical comments should be made on the results of the cited works.

(3)    The main objective of the work must be written in a more precise and concise way at the end of the introduction section. Please carefully check recent literature and discuss/cite as you see fit, and update your reference list. Modeling of machine learning with SHAP approach for electric vehicle charging station choice behavior prediction. Grey wolf optimizer-based machine learning algorithm to predict electric vehicle charging duration time

(4)    In Table 1 the operating range (C) is -30-55, it’s not clear

(5)    Figure 11 shows a test case with an initial condition of 52% SOE and -28℃. How its 52% ?

(6)    The reviewer think some figures related to the computation results should be presented to improve the quality of this paper.

(7)    The conclusion section provides a lack of contributions to this manuscript. Provide the key features, merits, and limitations of the proposed approach to clarify the precise boundary of the algorithms. The implication of the proposed method is also required.

(8)    This paper is generally well written, but I found multiple typographic and editorial errors over the entire manuscript, including the equations. The authors need to proofread again carefully.

 

 

 

 

 

Author Response

Dear reviewer, we have addressed all of your concerns, and modifications in the manuscript are highlighted by yellow color for your convenience.

Author Response File: Author Response.pdf

Reviewer 3 Report

In the paper authors present a heating method for electric vehicle batteries, using external heating film and a fuzzy logic controller.

The paper has two main contributions. At first, the thermal and equivalent circuit model of the battery are developed, that is used for simulation purposes later. The model adequately describes the behaviour of the battery under different temperatures and driving profiles.

Comments on Section 2:

- On Page 6, line 198, Figure 5 is referred to  obtain the cell capacity, but I think it should be Figure 6.

- I suggest to add a small paragraph about the model identification method and include the values of the identified model parameters, too.

The second contribution of the paper is the design of the fuzzy controller, responsible for the external heating power.

Comments on Section 3:

- Give the meaning of the membership functions of each variable. Only a few of them are explained, e.g. NB - strong regenerative braking.

- In Figure 8, subfigures a, b, and c could be arranged in one column.

- "The Center-of-Area (COG) method" - it is either Center-of-Area (COA) or Center-of-Gravity (COG). Please correct the notation.

Overall the paper is well written, but minor spell check is required. E.g.  line 412: simply -> simple

The paper can be accepted after minor revision.

Author Response

Dear reviewer, we have addressed all of your concerns, and modifications in the manuscript are highlighted by yellow color for your convenience.

Author Response File: Author Response.docx

Reviewer 4 Report

The external heating method had been investigated in this study through the electrothermal film as the heating material. The batter provides the required power to heat up itself through maximizing the driving range before out of energy when sailing in the low temperature environment condition. The fuzzy logic control theory had been employed to manage effectively this system. This study is interesting however there are some drawbacks that the authors should address them to improve their research.

1.      In the introduction, the research gap must be stated clearly. In reality, the authors have not still presented clearly the object of study: external heating for cell battery of electrical vehicles.

2.      The contribution of this study should be provided in this paper.

3.      The authors had used the fuzzy logic control theory installed the dynamic programming (DP). However, the theory of fuzzy logic control has not been provided and explained.

4.      The authors have provided the reason to employ the fuzzy logic control theory in page 8, lines 255-260. However, these statement is not persuaded by this method is completely based on the experiments from the experts in the criteria decision making system (CDMS). So, who are investigated in this study?. Additionally, the fuzzy logic control had been applied successfully in the control system for turning parameters to get the optimal values. In reality, it is not suitable to apply the energy management system for the electric vehicles by its low accuracy level.

5.      The authors have provided the simulation results from the testing system model. However, there are no models to present in this study.

6.      Especially, the rule bases of fuzzy logic theory, the authors have no provided the scientific basis to have these rules in controlling.

7.      This study must be expanded and confirmed more to get the high quality research paper.

8.      The acknowledgement should be provided in this paper.

Comments for author File: Comments.docx

Author Response

Dear reviewer, we have addressed all of your concerns, and modifications in the manuscript are highlighted by yellow color for your convenience.

Author Response File: Author Response.pdf

Round 2

Reviewer 2 Report

The revised Version is substantially improved. Authors have addressed all queries positively. Therefore recommended for publication. 

Reviewer 4 Report

The authors had addressed the comments from this reviewer. This paper currently could be accepted.