Design and implementation of a real-time power management strategy for a parallel hybrid electric bus

Design and implementation of a real-time power management strategy for a parallel hybrid electric bus
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DOI:
10.1177/0954407013512289
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发表时间:
2014-06
期刊:
Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering
影响因子:
--
通讯作者:
Xiaohua Ye;ZhenHua Jin;Xiaosong Hu;Qingchun Lu
Xiaohua Ye;ZhenHua Jin;Xiaosong Hu;Qingchun Lu
中科院分区:
其他
文献类型:
--
作者:
Xiaohua Ye;ZhenHua Jin;Xiaosong Hu;Qingchun Lu

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介绍了一种基于等效能耗最小化策略的并联式混合动力客车实时能量管理策略。虽然等效能耗最小化策略是一种针对混合动力汽车电源管理问题的近最优控制策略,但计算成本和驾驶性能要求仍然是直接在实时控制器上实现的障碍。本文分析了基于Willans线模型的内燃机和电动机等效能耗最小化策略的控制器特性。提出了一种两步法来简化和逼近标准等效消耗最小化策略控制器。所提出的控制器策略被称为Willans线等效消耗最小化策略,该策略可以降低优化的计算成本,保证接近最优的燃油经济性,同时提高车辆的驾驶性能。然后通过离线仿真和机载台架测试验证了所提出的控制器。结合动态规划和基于查找表的等效消耗最小化策略,对两步简化后的控制器的燃油经济性进行了逆向仿真验证。然后通过高保真前向仿真对控制器进行调整,以探索燃油经济性和驾驶性能之间的权衡。最后,通过实际动力总成部件的台架试验,验证了所提方法的有效性。
A real-time energy management strategy derived from an equivalent consumption minimization strategy for a parallel hybrid electric bus is introduced. Although an equivalent consumption minimization strategy is a near-optimal control strategy for the power management problems of hybrid electric vehicles, the computation cost and the driveability requirements are still barriers for it to be directly implemented on real-time controllers. This paper analyses the controller characteristics of the equivalent consumption minimization strategy based on the Willans line model for an internal-combustion engine and an electric motor. A two-step method is proposed to simplify and approximate the standard equivalent consumption minimization strategy controller. The strategy for the proposed controller, which is called the Willans line–equivalent consumption minimization strategy, can reduce the computation cost of optimization and can guarantee near-optimum fuel economy, while improving the vehicle driveability. The proposed controller is then validated by offline simulation and an onboard bench test. A backward simulation is conducted to test the fuel economy performance of the controller simplified from the two steps, together with dynamic programming and an equivalent consumption minimization strategy based on look-up tables. Then the controller is tuned by a high-fidelity forward simulation to explore the trade-off between the fuel economy and the driveability. Finally, a bench test with real powertrain components is presented to illustrate the effectiveness of the proposed methodology.