首页> 外文会议>FISITA World Automotive Congress >On-Board Powerplant Numerical Optimization of Internal Combustion Engines in Series Hybrid-Powertrains
【24h】

On-Board Powerplant Numerical Optimization of Internal Combustion Engines in Series Hybrid-Powertrains

机译:串联混合动力牵引发动机内燃机的车载动力装置数值优化

获取原文

摘要

Serial-hybrid-powertrains in extended-range electric vehicles (E-REV) pose different requirements to internal combustion engines (ICE) than conventional vehicles. In E-REVs ICEs are not used for propulsion but for battery charging and cabin heating. This work deals with the design of ICEs in serial-hybrid-powertrains. It considers different operating strategies as well as the dimensioning of the electric components of the powertrain and the thermal management. Therefore, a longitudinal dynamic model was developed using GTSUITE including the ICE and the thermal management. The engine was operated on a test bench in parallel to create the necessary maps for the numerical investigations. Due to the high amount of parameters that can be optimized when determining the operating strategies and dimensioning the components, by a numerical optimization method that was developed and customized for this problem. The numerical investigations showed that for higher vehicle speeds the direct propulsion of the ICE is more efficient while for lower speeds the operation of the ICE as a generator is the more efficient strategy. Additionally, the influence of the ambient temperature on the efficiency was taken into account. At low ambient temperatures it is necessary to heat up the driver's cabin electrically. Using a thermal numerical model it was possible to show the dependency on the energy consumption, the component dimensioning and the configuration of the operation strategies. The most favourable powertrain setup and the most efficient operating strategies were achieved by using the described numerical optimization method. The new and comprehensive approach was to consider the entire vehicle including mechanical components, thermal components and operating strategies in the numerical model setup and the holistic optimization of them using self-developed numerical optimization software.
机译:延伸范围电动车辆(E-REV)中的串行混合动力驱动器与常规车辆的内燃机(ICE)构成不同的要求。在电子版本中,ICES不用于推进,但用于电池充电和机舱加热。这项工作涉及串联混合动力驱动器中的冰。它考虑了不同的操作策略以及动力总成和热管理的电气部件的尺寸。因此,使用包括冰和热管理的GTSUITE开发了纵向动态模型。该发动机在测试台上并行运行,以创建用于数值研究的必要地图。由于在确定操作策略和尺寸方面,通过为该问题开发和定制的数值优化方法,可以在确定操作策略和尺寸时可以优化的参数。数值研究表明,对于较高的车辆速度,冰的直接推进更有效,而较低的速度为冰作为发电机的操作是更有效的策略。另外,对环境温度对效率的影响被考虑在内。在低环境温度下,有必要电动驾驶室电气。使用热量数字模型,可以显示对能量消耗,组件尺寸和操作策略配置的依赖性。通过使用所描述的数值优化方法实现最有利的动力总成设置和最有效的操作策略。新的和全面的方法是考虑整个车辆,包括数值模型设置中的机械组件,热部件和操作策略以及使用自我开发的数字优化软件的整体优化。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号