Research on Performance Simulation and Control Strategy of Indirect Heat Pump Systems for New Energy Commercial Vehicles

Geng Yi; Shi Junye; Chen Jiangping; Liu Zhiyong

doi:10.12465/issn.0253-4339.20250611002

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Research on Performance Simulation and Control Strategy of Indirect Heat Pump Systems for New Energy Commercial Vehicles

更新时间：2025-12-17

- Research on Performance Simulation and Control Strategy of Indirect Heat Pump Systems for New Energy Commercial Vehicles
- Journal of Refrigeration Pages: 1-9(2025)
- 作者机构：
  
  1.上海交通大学制冷与低温工程研究所上海 200240
  2. 犀重新能源汽车有限公司杭州 310000
- 作者简介：
- 基金信息：
- DOI：10.12465/issn.0253-4339.20250611002
  CLC： TB657.5;U469.72
- Revised：2025-06-26，
  
  Accepted：28 July 2025，
  
  Published Online：17 December 2025，
- 稿件说明：
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耿溢,施骏业,陈江平等.新能源商用车间接式热泵系统性能仿真及控制策略研究[J].制冷学报,

Geng Yi,Shi Junye,Chen Jiangping,et al.Research on Performance Simulation and Control Strategy of Indirect Heat Pump Systems for New Energy Commercial Vehicles[J].Journal of Refrigeration,
耿溢,施骏业,陈江平等.新能源商用车间接式热泵系统性能仿真及控制策略研究[J].制冷学报, DOI：10.12465/issn.0253-4339.20250611002.

Geng Yi,Shi Junye,Chen Jiangping,et al.Research on Performance Simulation and Control Strategy of Indirect Heat Pump Systems for New Energy Commercial Vehicles[J].Journal of Refrigeration, DOI：10.12465/issn.0253-4339.20250611002.

摘要

将热泵系统作为新能源商用车热管理系统的核心部件，其能效优化与多模式协同控制对整车续航与经济性提升具有重要意义。本文以R134a为循环工质，构建了基于比例积分（PI）控制算法的多变量协同调控架构，通过Amesim仿真的方法，系统研究了热泵系统在不同环境下的动态性能特性。重点围绕40 ℃高温制冷与-15~0 ℃宽域低温制热两大典型工况，提出风源热泵、水源热泵及双源耦合热泵等多模式分级控制策略，并建立电机余热梯级利用模型。结果表明：在双目标制冷模式下，系统可在200 s内实现电池包与乘员舱温控，压缩机功率稳定于7 kW左右，性能系数（COP）达2.5~3.0；低温制热工况下，双源热泵模式制热COP突破2.1，相比传统正温度加热系数（PTC）加热模式节能60%。

Abstract

The heat pump system， as a core component of the thermal management system in new energy commercial vehicles， plays a critical role in improving vehicle range and economic efficiency through energy efficiency optimization and multi-mode cooperative control. This study employed R134a as the refrigerant and developed a multivariate cooperative control framework based on a proportional-integral （PI） control algorithm. The dynamic performance characteristics of the heat pump system under diverse environmental conditions were systematically investigated using advanced modeling environment for simulations （AMESim）. Focusing on two typical operating scenarios： high-temperature cooling at 40 ℃ and wide-range low-temperature heating （-15 to 0 ℃）， a hierarchical control strategy integrating air-， water-， and dual-source coupled heat pump modes was proposed， along with a cascaded waste heat utilization model for motors. The results show that in the dual-target cooling mode， the system achieves simultaneous temperature control for the battery pack and cabin within 200 s， with the compressor power stabilized at approximately 7 000 W and a coefficient of performance （COP） ranging from 2.5 to 3.0. Under low-temperature heating conditions， the dual-source heat pump mode achieved a heating COP of 2.1， representing 60% energy savings over traditional PTC heating systems.

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references

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