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首页> 外文期刊>SAE International Journal of Electrified Vehicles >Predictive Thermal-Management Methods and Use Cases in a Mild Hybrid Electric Vehicle
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Predictive Thermal-Management Methods and Use Cases in a Mild Hybrid Electric Vehicle

机译：预测的热量和使用方法例轻度混合动力电动汽车

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摘要

In recent years, the numbers of battery electric vehicles and hybrid electric vehicles are strongly increasing in the European Union. For these vehicles dedicated thermal-management solutions have been developed. Since thermal-management has a high impact on these vehicles' efficiencies and ranges, its improvement with new potentialities is of ongoing high importance to cope with the latest European carbon dioxide-reduction targets. For boosting the efficiency of an electric vehicle, two predictive thermal-management methods are presented in this work, which receive information on the upcoming route profile and powertrain heat release. Thermal and mechanical behavior for the projection duration of e.g., 5 minutes are prognosed, and optimized control parameters are calculated, that allow specific thermal and energetic optimisations of the vehicle, that help to reduce carbon dioxide emissions. The optimized control algorithm is tested in combination with a coolant temperature lift strategy, a complex integration of a phase change material storage as well as with an air-conditioning compressor control. The detailed methods as well as their dedicated benefits are described in this work. Additionally, hurdles and further challenges of such predictive control approaches are reported.
机译：近年来,电动电池的数量汽车和混合动力电动汽车强烈增加在欧盟。这些车辆专用的热量解决方案开发。在这些热量高的影响车辆的效率和范围,它的改进的新潜力是正在进行的高度重视应对最新的欧洲人碳dioxide-reduction目标。电动汽车的效率,两个预测的热量管理方法提出了工作,接收信息在即将到来的概要文件和动力系统热量释放。投影例如,持续时间5分钟预测和优化控制参数计算,允许特定的热车辆的能量优化,帮助减少二氧化碳的排放。控制算法结合进行测试冷却液温度提升的策略,一个复杂的集成的相变材料储存以及一个空调压缩机控制。专用的好处是描述在这工作。此外,障碍和进一步的挑战这样的报告预测控制方法。

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