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Optimization of hybrid electric vehicle control for efficient performance at critical energy levels

机译:优化混合动力电动汽车控制以在关键能量水平下实现高效性能

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This paper proposes an optimization algorithm to regulate energy consumption and powertrain control of a hybrid electric vehicle (HEV). The algorithm is applied on a prototype vehicle manufactured by adding an electric motor to an all-terrain vehicle (ATV). The control system is designed using an embedded micro-controller unit (MCU). The main targets in this study are to improve the electric energy consumption efficiency and to reduce the ICE usage to minimum. The MCU controls the automatic switching between the electric motor and the internal combustion engine of the ATV. Furthermore, the system gives guidance for driver to use the limited resource efficiently at critical energy level. It restricts the driver performance using pulse width modulation (PWM). PWM duty cycle is adjusted to get optimum performance in term of maximizing the travel distance. Various driving scenarios are analyzed in this study. Factors such travel speed, energy level, stop-and-go frequency have been taken into consideration. The experiments showed significant improvement.
机译:本文提出了一种优化算法来调节混合动力电动汽车(HEV)的能耗和动力总成控制。该算法适用于通过向全地形车(ATV)添加电动机而制造的原型车。该控制系统是使用嵌入式微控制器单元(MCU)设计的。这项研究的主要目标是提高电能消耗效率,并将ICE的使用量降至最低。 MCU控制ATV的电动机和内燃发动机之间的自动切换。此外,该系统还为驾驶员提供了在临界能量水平下有效使用有限资源的指导。它使用脉冲宽度调制(PWM)限制驱动器性能。调节PWM占空比以获得最大的行驶距离,从而获得最佳性能。在这项研究中分析了各种驾驶情况。已经考虑了诸如行驶速度,能量水平,走走停停的频率等因素。实验显示出明显的改善。

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