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首页> 外文会议>2011 International Conference on Electric Information and Control Engineering >Study of energy management optimization for hybrid electric scooter using dynamic programming
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Study of energy management optimization for hybrid electric scooter using dynamic programming

机译：基于动态规划的混合动力电动车能源管理优化研究

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This paper presents parameters optimization of energy management system for hybrid electric scooters (HES) by applying dynamic programming (DP). For hybrid electric scooters, an energy management system (EMS) is required to manage the power split among engine, motor and generator, with the constraint of the sum of the total output torque of the three power sources equal to the demand torque during drive. In order to determine an optimal energy management strategy for the EMS, a dynamic programming based algorithm application for hybrid electric scooters is proposed in this paper, because it has been proven to be capable of dealing with the global optimal energy management problem for hybrid vehicles. The dynamic simulation model of hybrid electric scooter is composed by a velocity predication module which is constructed by a feedforward neural network (FNN) and parameters optimization module by dynamic programming. The dynamic programming and velocity predication is successfully applied to the parameters optimization of EMS for HES.
机译：通过动态规划（DP），提出了混合动力踏板车（HES）能源管理系统的参数优化。对于混合动力踏板车，需要一个能量管理系统（EMS）来管理发动机，电动机和发电机之间的功率分配，并且三个动力源的总输出扭矩之和等于行驶过程中的需求扭矩。为了确定用于EMS的最佳能量管理策略，提出了一种基于动态规划的混合动力电动踏板车算法应用，因为它已被证明能够解决混合动力车辆的全局最佳能量管理问题。混合动力电动摩托车的动力学仿真模型由前馈神经网络（FNN）构造的速度预测模块和动态规划的参数优化模块组成。动态编程和速度预测已成功地应用于HES EMS的参数优化。

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