A New HEV Power Distribution Algorithm Using Nonlinear Programming
Round 1
Reviewer 1 Report
I would suggest using the algorithm at an concretely empirical study
Author Response
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Author Response File: 
Author Response.doc
Reviewer 2 Report
The article is very interesting from the perspective that it deals with, however, it would be interesting to see more literature related to the research topic, that is, the new HEV power distribution algorithm using nonlinear programming. It is important for the discussion of the proposal made by the authors.
Author Response
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Author Response File: Author Response.doc
Reviewer 3 Report
In the manuscript, the authors proposed a nonlinear programming-based ECMS to improve the fuel efficiency of HEVs. The proposed NLP-ECMS allows for accurate calculation of the reference SOC trajectory with a relatively short calculation time making it a step toward real-time applications with limited computational resources.
The manuscript is well-written in my opinion. My comments are as the following:
1. in table 3. the authors use the sum of error to reflect the accuracy of the obtained reference SOC trajectory for each case. The sum of error is a good measure in general but usually does not consider when different parameters weigh differently. Could the authors elaborate more on the weights associated with different parameters in the reference SOC trajectory?
2. The authors compare the results from NLP-ECMS with the results from DP which is used as an offline optimization algorithm producing a global optimal solution. Since the author is proposing an online optimization algorithm, it would be of greater significance if the authors could include a comparison of the performance of the NLP-ECMS with other state-of-the-art online optimization approaches, such as particle swarm optimization or neural networks-based methods.
Author Response
Please see the attachment.
Author Response File: Author Response.doc
Round 2
Reviewer 1 Report
I believe the experimental results will illustrate the advantages and disadvantages of the algorithm.
