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International Journal of Automotive Technology > Volume 27(4); 2026 > Article
International Journal of Automotive Technology 2026;27(4): 1787-1798.
doi: https://doi.org/10.1007/s12239-025-00391-w
Driving Mode Development for Concrete-Mixer Trucks Based on Suburban Power Demand Characteristics
Bong Kwan Son1, Yonghyun Choi1, Joonsuk Kim1, Hee Su Kim1, Seong Gyeong Kim2, Hyunwoo Song3
1Korea Construction Equipment Technology Institute, 36 Sandan-ro, Gunsan, 54004, Jeollabuk-do, Republic of Korea
2KSNU Advanced Technology Institute for Convergence, 177-1 Sandannambuk-ro, Gunsan, 54001, Jeollabuk-do, Republic of Korea
3Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea
PDF Links Corresponding Author.  Joonsuk Kim , Email. jskim@koceti.re.kr
Received: October 23, 2025; Revised: November 13, 2025   Accepted: November 14, 2025.  Published online: December 22, 2025.
ABSTRACT
As environmental regulations tighten and carbon neutrality becomes a global priority, construction equipment is increasingly transitioning toward zero-emission power sources. To ensure the feasibility of applying eco-friendly power sources, it is essential to precisely understand the power demand characteristics under real-world operating conditions. This study developed representative driving modes for a 6-rube class mixer truck based on actual driving data from suburban driving. Using a micro-trip methodology, 8,491,392 and 3,964,032 candidate driving cycles were generated for transport and return trips, respectively. Representative modes were selected based on speed distribution similarity, with low MAE values of 1.96% and 0.83%. The resulting power demand profiles showed a peak requirement of 282 kW, and moving average analysis demonstrated the potential for managing peak loads through appropriate system sizing. These representative modes and derived power characteristics can be used to support efficient and low-emission system development for mixer trucks.
Key Words: Driving mode · Mixer truck · Power characteristics · Driving pattern · Micro-trip · Suburban areas
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