主办:陕西省汽车工程学会
ISSN 1671-7988  CN 61-1394/TH
创刊:1976年

汽车实用技术 ›› 2026, Vol. 51 ›› Issue (8): 66-70.DOI: 10.16638/j.cnki.1671-7988.2026.008.012

• 设计研究 • 上一篇    

基于客户动力需求的重型商用车动力匹配方法

白海康,沈亚强,王智贤,王佳妮,韩璐珩   

  1. 陕西重型汽车有限公司 汽车工程研究院
  • 发布日期:2026-04-23
  • 通讯作者: 白海康
  • 作者简介:白海康(1993-),男,硕士,工程师,研究方向为重型商用汽车驾驶性能开发

A Power Matching Method for Heavy-Duty Commercial Vehicles Based on Customer Power Demand

BAI Haikang, SHEN Yaqiang, WANG Zhixian, WANG Jiani, HAN Luheng   

  1. Institute of Automotive Engineering R&D, Shaanxi Heavy Duty Automobile Company Limited
  • Published:2026-04-23
  • Contact: BAI Haikang

摘要: 重型商用汽车干线物流市场大功率+小速比趋势逐渐加剧,为寻求客户对于大功率的动 力需求和车辆极致节能的平衡点,文章基于现有车辆运行的海量数据,提出了一种创新型方 法,评估客户对于不同功率车型的动力需求,即统计同一细分市场、同一运行工况的车辆运 行平均功率,通过平均功率的提升,描述客户对功率提升带来的动力心理预期,结合实际运 行工况,推荐最佳动力匹配。经分析,平原高速工况和山区高速工况下,单位功率上升对应的 客户动力需求分别上升 0.09%和 0.12%。研究成果表明,爬坡工况下,17 L、588 kW 车型较 15 L、500 kW 车型油耗低 1.15 L/100 km,爬坡车速快 7.9%;综合工况下,17 L、588 kW 车 型与 15 L、500 kW 车型油耗相当,平均车速快 6.9%。

关键词: 客户动力需求;重型商用车;功率提升;动力匹配;平衡点

Abstract: In the line-haul logistics market for heavy-duty commercial vehicles, the trend toward high power paired with low speed ratios is becoming increasingly pronounced. To strike a trade-off point of customers power demands for high power with the pursuit of ultimate fuel efficiency for vehicles, this paper proposes an innovative method for assessing customers power needs across different power models. This approach is based on massive existing vehicle operation data. Specifically, it calculates the average operating power of vehicles within the same market segment and under identical operating conditions. The increase in this average power is used to quantify customers' psychological expectation for power improvement as power increases. Combining actual operating conditions, the optimal power matching is recommended. Analysis shows that under plain freeway condition and mountainous freeway condition, a unit power increase in corresponds to a rise in customer power demand of 0.09% and 0.12%, respectively. The findings indicate, in climb conditions, an 17 L, 588 kW model consumes 1.15 L/100 km less fuel and achieves a 7.9% higher speed than a 15 L, 500 kW model; under comprehensive conditions, the 17 L, 588 kW model maintains similar fuel consumption while achieving a 6.9% higher average speed than 15 L, 500 kW model.

Key words: customers power demand; heavy-duty commercial vehicles; power boost; power matching; trade-off point