The assessment of the ecological impact of different powertrain concepts is of increasing relevance considering the enormous efforts necessary to limit the global warming effect due to the man-made climate change. Within this contribution, we adopt existing methods for the optimization of electric and hybrid electric powertrains using a vehicle simulation environment and derive a method to identify the ecological potential of different powertrain concepts for a set of technological parameters in the reference year 2030. By optimizing the parametrization for each powertrain concept and by adapting the respective operating behaviour specifically to minimize the ecological impact, a reliable and unbiased comparison is enabled. We use our optimization environment with the Real Ecological Impact as objective function to compare different powertrain concepts on driving profiles that are based on real driving data recorded in Germany. Despite the fact that all of the considered driving profiles contain trips of similar length, their respective optimized powertrain concepts are different. Plug-In Hybrid vehicles achieve the greatest potential for long-range capable vehicles and are least sensitive to different driving profiles.

考虑到人为的气候变化，为限制全球变暖的影响而付出的巨大努力，对不同动力总成概念的生态影响的评估越来越具有现实意义。在此贡献范围内，我们采用了现有的方法来利用车辆仿真环境优化电动和混合动力系统的动力，并推导了一种方法，用于在2030基准年确定一套技术参数的不同动力系统概念的生态潜力。针对每个动力总成概念进行参数化，并通过专门调整各自的运行行为以最大程度地减少生态影响，可以进行可靠且无偏见的比较。我们将优化环境与“实际生态影响”作为目标函数，以基于德国实际驾驶数据为基础的驾驶配置文件比较不同的动力总成概念。尽管所有考虑的行驶曲线都包含相似长度的行程，但它们各自的优化动力总成概念却不同。插电式混合动力汽车在具有远程能力的车辆方面具有最大的潜力，并且对不同的驾驶状况最不敏感。