Development of Driving Robot and Driver Model Applied Regenerative Brake Control of Electrified Vehicles

Author:

Okui Nobunori1

Affiliation:

1. National Traffic Safety and Environment Laboratory, 7-42-27 Jindaiji-higashi, Chofu, Tokyo 182-0012, Japan

Abstract

Real driving emissions (RDE) test procedures for type approval were initiated in Japan in 2022. In Japan, the test vehicle is driven on a test road (test course) by tracing the speed pattern prepared for each RDE test. The vehicle needs to trace the patterns in the same manner as in the conventional chassis dynamometer test. The use of a driving robot is effective for reproducibility in precisely tracing the target vehicle speed during these tests. In this study, we developed a driving robot for electrified vehicles (HEV, plug-in HEV, BEV, and FCV), which have regenerative brake-control systems. We applied a new logic to our robot that was developed in-house for conventional engine vehicles. We focused on braking deceleration of the regenerative brake control to change the operation timing from the accelerator pedal to the brake pedal. We verified the improvement of speed traceability of the driving robot installed with the proposed logic on the chassis dynamometer and test road.

Publisher

Fuji Technology Press Ltd.

Reference11 articles.

1. W. Thiel, S. Gröf, G. Hohenberg, and B. Lenzen, “Investigations on Robot Drivers for Vehicle Exhaust Emission Measurements in Comparison to the Driving Strategies of Human Drivers,” SAE Technical Paper No.982642, 1998. https://doi.org/10.4271/982642

2. Y. Sugihara, Y. Hirose, K. Furukawa, and Y. Ogawa, “Improved Method to Realize Load Simulation for Engine Test,” Proc. of the 2016 JSAE Annual Congress (Autumn), pp. 2083-2087, 2016 (in Japanese).

3. N. Mizutani, H. Matsui, K. Yano, and T. Takahashi, “Vehicle Speed Control by a Robotic Driver Considering Vehicle Dynamics for Continuously Variable Transmissions,” J. Robot. Mechatron., Vol.30, No.2, pp. 300-310, 2018. https://doi.org/10.20965/jrm.2018.p0300

4. K. Yoshida, H. Fukai, M. Niwakawa, and M. Kanke, “Adopted the technology of Artificial Intelligence (AI) for Drive Robot,” Meiden Review, Vol.364, No.3, pp. 47-52, 2019 (in Japanese).

5. M. Okamoto, S. Morimoto, M. Ohashi, and K. Uchida, “Automobile Gear-Shift Control Including Driver Behavior by Just-in-Time Modeling,” Trans. of the Society of Instrument and Control Engineers, Vol.10, No.3, pp. 17-26, 2011 (in Japanese).

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3