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Control and analysis of regenerative power distribution on electrical variable transmission using fuzzy logic on HEV system

机译:混合动力汽车系统电动模糊控制再生功率分配的分析

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In this paper, an intelligent regenerative power management controller based on fuzzy logic has been presented to strategize the regenerative process on HEV trained by Permanent Magnet Synchronous Machines-Electrical Variable Transmission (PMSM-EVT). Then, the power flow through EVT-machines as motors and generators during the driving cycle has been analyzed. This fuzzy logic-based control strategy is designed based on the most effective variables on the system, the state of charge of the battery, the power requested at the wheels and the vehicle velocity. The proposed strategy and the system performance are validated and tested through the simulation results with different driving cycles. The proposed strategy optimizes the distribution of the braking power between the regenerative and the hydraulic parts. This helps to save the ratings of the power units of HEV system (engine, battery, and PMSM-EVT machines), and exploits the EVT machines as motors and generators on driving the vehicle and charging the battery, respectively.
机译:本文提出了一种基于模糊逻辑的智能再生电源管理控制器,以对永磁同步电机-电动变速箱(PMSM-EVT)训练的混合动力汽车的再生过程进行策略化设计。然后,分析了在行驶周期中通过EVT机作为电动机和发电机的功率流。这种基于模糊逻辑的控制策略是根据系统上最有效的变量,电池的充电状态,车轮要求的功率和车速设计的。通过不同驱动周期的仿真结果对所提出的策略和系统性能进行了验证和测试。所提出的策略优化了再生和液压部件之间的制动力分配。这有助于节省HEV系统的动力单元(发动机,电池和PMSM-EVT机器)的额定值,并利用EVT机器分别作为驱动车辆和给电池充电的电动机和发电机。

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