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HEAVY TRUCK WITH FUEL-SAVING SYSTEM, AND FUEL-SAVING CONTROL METHOD THEREFOR

机译:重型卡车与节省燃料系统,与节省省油控制方法

摘要

Disclosed is an ACE heavy truck fuel-saving system based on a dual-electric motor parallel-series power assembly system structure, especially an electric power splitter, the system can dynamically regulate and control the transfer path, direction and amplitude of a hundred-kilowatt mechanical or electric power flow between vehicle-mounted power subsystems by means of software definition or remote iterative updating without additionally providing any new hardware devices, same can flexibly create new functions i.e. longitudinal driving control and electromechanical energy management for vehicles or improve existing functions in a timely manner, and achieve the SAE L1 automatic driving function, such that the power performance, fuel consumption, pollutant emissions and active safety of the whole vehicle can be simultaneously optimized, so that the actual energy conservation and emission reduction effect during the running of the ACE heavy truck is fundamentally decoupled from the engine performance of the vehicle and the driving skill of a driver. By means of a fuel-saving algorithm using a cloud-end and vehicle-end collaborative fuel-saving data set combined with machine learning, the fuel-saving system has automatic learning and autonomous evolution capabilities during the vehicle life cycle, and can continuously optimize the energy conservation and emission reduction feature of the vehicle.
机译:公开了一种基于双电机平行系列电源组装系统结构,尤其是电力分配器的ACE重型卡车节省系统结构,系统可以动态调节和控制传输路径,方向和幅度的数百千瓦车载电源子系统之间的机械或电力流动通过软件定义或远程迭代更新而无需另外提供任何新的硬件设备,同样可以灵活地创建新功能,即车辆的纵向驱动控制和机电能量管理或改善A中的现有功能及时的方式,实现SAE L1自动驱动功能,使得能量性能,燃料消耗,污染物排放和整个车辆的主动安全性可以同时优化,使实际节能和减排在运行过程中的效果ACE重型卡车从根本上与发动机分离车辆的性能和驾驶员的驾驶技巧。通过使用云端和车辆结束协作节能数据集合与机器学习结合的节省燃料算法,节省燃料系统在车辆生命周期中具有自动学习和自主进化能力,并且可以连续优化车辆的节能减排特征。

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