Predictive Energy Management Strategy for Hybrid Electric Air-Ground Vehicle Considering Battery Thermal Dynamics

Round 1

Reviewer 1 Report

1. Introduction section is extensive in its coverage, but has seemingly overlooked the existring literature which applies effect of temperature on battery life or work efficiency.

2.While this is the first application in Hybrid electric air-ground vehicle, the research framework of this paper is too close to Reference 18.  Does the Author adjust the research framework according to the characteristics of Hybrid electric air-ground vehicle?

3.Please explain why this article uses a PMP-MPC framework similar to Reference 18.

4. The author does not explain the definition of the battery temperature cost and the reason for using the linear model to calculate the battery cost. Please add the discussion on battery temperature cost, which is the focus of the work.

5.There are grammatical and editorial issues in this paper. Many of them could cause difficulties to the readers.

6.In the conclusions, in addition to summarizing the actions taken and results, please strengthen the explanation of their significance.

Author Response

Please see the attached file.

Author Response File: Author Response.pdf

Reviewer 2 Report

As a reviewer of the article  Predictive Energy Management Strategy for Hybrid Electric  Air-Ground Vehicle Considering Battery Thermal DynamicsI present the following comments:

Substantive:

 

1. The article uses a large amount of screeds (HEAGVs - Hybrid electric air-ground vehicles). I suggest placing them at the end of the article

 2. A similar remark applies to the symbols used in the formulas

3. No commentary on figures 3,4,5

4. Figure 7 is a repetition of part of Figure 6. Just refer to Figure 6

5. Result and discussion - Chapter 4 needs more discussion

Editing:

1. Figure 8. - Distance - no unit [m], [km] [?]

 2. Figure 9. Weighting factor k - no unit

Author Response

Please see the attached file.

Author Response File: Author Response.pdf

Reviewer 3 Report

This manuscript proposes a predictive EMS based on model predictive control (MPC), which could effectively improve fuel economy and reduce temperature. To improve the quality of this work, some issues should be well handled, here are some comments that help improve the quality of this work.

1. The main results and findings of this work should be presented in the Abstract, the current abstract is only the description of the work content.

2. It is stated in the introduction that "For a hybrid powertrain, the battery pack is a very important part. Lower battery 78 temperature inhibits battery discharge capacity. High battery temperature affects the battery life and has an impact on the stable operation of HEAGV." Many reported strategies were listed in the following parts. Here is a suggestion for the thermal management of the battery, the thermal energy storage using phase change material (International Journal of Heat and Mass Transfer 155 (2020) 119853).

3. Equations 7-10 should be introduced in the corresponding content to rationalize the presence of these equations. For instance, where to use these Eqs. and which graph it corresponds to?

4. Fig 3-5 should be well introduced, like the data source and how to utilize them. 

5. The content of Fig 6 should be well described.

6.  The graph in the right corner of Fig6 is the same as Fig 1, which should be avoided.

7. In section 2.4, it seems that heat dissipation is well-considered in battery management. Here is a question on the fly height of the vehicle. Generally, the battery needs to keep warm for electric aircraft in flying conditions.

8. The data displayed in Fig 11-17 should be well analyzed rather than a simple mention.

Author Response

Please see the attached file.

Author Response File: Author Response.pdf

Round 2

Reviewer 3 Report

The paper in current version has been well improved and could be further processed.