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<p>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&#xa0;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.</p>

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Driving Mode Development for Concrete-Mixer Trucks Based on Suburban Power Demand Characteristics

  • 期刊论文

  • 发表日期：

    2025年12月22日

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  • Bong Kwan Son,
  • Yonghyun Choi,
  • Joonsuk Kim,
  • Hee Su Kim,
  • Seong Gyeong Kim,
  • Hyunwoo Song

摘要

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.