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Article
Peer-Review Record

Implementation of Driving Cycles Based on Driving Style Characteristics of Autonomous Vehicles

World Electr. Veh. J. 2022, 13(6), 108; https://doi.org/10.3390/wevj13060108
by Xucheng Duan *, Ferdinand Schockenhoff and Alexander Koch
Reviewer 1:
Reviewer 2:
World Electr. Veh. J. 2022, 13(6), 108; https://doi.org/10.3390/wevj13060108
Submission received: 24 May 2022 / Revised: 13 June 2022 / Accepted: 15 June 2022 / Published: 20 June 2022

Round 1

Reviewer 1 Report

This paper presents a novel approach to an interesting topic: how much the driving style chosen by autonomous vehicle designers can impact the energy efficiency of a vehicle?

While there is extensive literature on driving cycles for human-driven vehicles designed not to consider individual driving styles, such an approach is not suitable for AVs since the driving algorithm, and its relative calibrations are part of the vehicle design.

 

Considering the paper, the review on driving styles is very good. I also share their hypothesis on considering V2I communication not available and traffic composed of most human-driven vehicles.

 

Another interesting point is to analyze driving data from two commercially available SAE level 2 vehicles when used with ACC.

The energy consumption is based on open-source software (LDS).

The description of overtaking criteria that significantly impact power consumption is well-detailed.

The simulation data are presented clearly, showing all the needed details.

 

 

Author Response

Thank you for your positive feedback!

We are glad that you agree with our methodology and share our opinion on the concepts and the hypothesis. We hope that our work could inspire you and other researchers from similar research field.

Reviewer 2 Report

The manuscript is well written with a logical flow.  

The description of the cycle generator tool is well explained.  

You might consider adding a little more detailed description of the ACC algorithm that is used in the tool and how the behavior of the ACC impact the results.  

It may also be helpful to plot some parameters of the Driving Scenario along with the results so the reader can have a better understanding of how those parameters affect the generated driving cycle.  

Author Response

Thank you for your valuable feedback!

In section 3.3 we have listed the control algorithm of the ACC, including the block diagram and saturation of set acceleration. A same ACC model could be built with the given information.

We have added the plot in Appendix A (referred in line 537), to show the influences and sensitivity of the individual parameters on the driving style ratings. We think this could help the reader to understand how those parameters affect the generated driving cycle.

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