Vehicle performance such as fuel consumption and catalyst-out emissions is affected by a driving pattern, which is defined as a driving cycle with grades in this study. To optimize the vehicle performances on a temporary driving pattern, we developed a multi-mode driving control algorithm using driving pattern recognition and applied it to a parallel hybrid electric vehicle (parallel HEV). The multi-mode driving control is defined as the control strategy which switches a current driving control algorithm to the algorithm optimized in a recognized driving pattern. For this purpose, first, we selected six representative driving patterns, which are composed of three urban driving patterns, one expressway driving pattern, and two suburban driving patterns. A total of 24 parameters such as average cycle velocity, positive acceleration kinetic energy, stop time/total time, average acceleration, and average grade are chosen to characterize the driving patterns. Second, in each representative driving pattern, control parameters of a parallel HEV are optimized by Taguchi method though the fuel-consumption and emissions simulations. And these results are compared with those by parametric study. There are seven control parameters, six of them are weighting factors of performance measures for deciding the ratio of engine power to required power from driving load. And the other is the charging/discharging method of battery. Finally, in driving, a neural network (the Hamming network) decides periodically which representative driving pattern is closest to a current driving pattern by comparing the correlation related to 24 characteristic parameters. And then the current driving control algorithm is switched to the optimal one, assuming the driving pattern does not change in the next period.
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e-mail: soonill@gong.snu.ac.kr
e-mail: bangle2@snu.ac.kr
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March 2002
Technical Papers
Multi-Mode Driving Control of a Parallel Hybrid Electric Vehicle Using Driving Pattern Recognition
Soon-il Jeon, Ph.D. candidate,,
e-mail: soonill@gong.snu.ac.kr
Soon-il Jeon, Ph.D. candidate,
School of Mechanical & Aerospace Engineering, Seoul National University, San 56-1, Shinrim-Dong, Kwanak-Ku, Seoul 151-742, Korea
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Sung-tae Jo, Ph.D. candidate,,
e-mail: bangle2@snu.ac.kr
Sung-tae Jo, Ph.D. candidate,
School of Mechanical & Aerospace Engineering, Seoul National University, San 56-1, Shinrim-Dong, Kwanak-Ku, Seoul 151-742, Korea
Search for other works by this author on:
Yeong-il Park, Professor,,
Yeong-il Park, Professor,
Department of Mechanical Design Production Engineering, Seoul National Polytechnic University, Gongreung-Dong, Nowon-Ku, Seoul 139-743, Korea
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Jang-moo Lee, Professor,
Jang-moo Lee, Professor,
School of Mechanical & Aerospace Engineering, Seoul National University, San 56-1, Shinrim-Dong, Kwanak-Ku, Seoul 151-742, Korea
Search for other works by this author on:
Soon-il Jeon, Ph.D. candidate,
School of Mechanical & Aerospace Engineering, Seoul National University, San 56-1, Shinrim-Dong, Kwanak-Ku, Seoul 151-742, Korea
e-mail: soonill@gong.snu.ac.kr
Sung-tae Jo, Ph.D. candidate,
School of Mechanical & Aerospace Engineering, Seoul National University, San 56-1, Shinrim-Dong, Kwanak-Ku, Seoul 151-742, Korea
e-mail: bangle2@snu.ac.kr
Yeong-il Park, Professor,
Department of Mechanical Design Production Engineering, Seoul National Polytechnic University, Gongreung-Dong, Nowon-Ku, Seoul 139-743, Korea
Jang-moo Lee, Professor,
School of Mechanical & Aerospace Engineering, Seoul National University, San 56-1, Shinrim-Dong, Kwanak-Ku, Seoul 151-742, Korea
Contributed by the Dynamic Systems and Control Division for publication in the JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT, AND CONTROL. Manuscript received by the Dynamic Systems and Control Division August 28, 2000. Associate Editor: S. Sivashankar.
J. Dyn. Sys., Meas., Control. Mar 2002, 124(1): 141-149 (9 pages)
Published Online: August 28, 2000
Article history
Received:
August 28, 2000
Citation
Jeon, S., Jo, S., Park, Y., and Lee, J. (August 28, 2000). "Multi-Mode Driving Control of a Parallel Hybrid Electric Vehicle Using Driving Pattern Recognition ." ASME. J. Dyn. Sys., Meas., Control. March 2002; 124(1): 141–149. https://doi.org/10.1115/1.1434264
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