双源型纯电动汽车能量管理优化策略
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唐强(1996-),男,硕士研究生,主要从事电源研制、系统仿真研究;E-mail:1142315585@qq.com

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TM912

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湖南省电动交通与智能配网工程技术研究中心开放基金(2015TP2001);湖南省自然科学基金(2017JJ2265)


Research on energy management strategyimprovement of dual source pure electric vehicle
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    摘要:

    驾驶意图是复合型能源汽车能量分配的重要影响因素,同时考虑到需求功率的低频部分冲击性小,可由蓄电池优先承担,高频部分冲击性大可由超级电容优先承担。提出融合驾驶意图识别的纯电动汽车功率分配控制方法,使得在传统控制策略中只考虑“车”因素基础上,增加考虑“人”的因素。与传统控制策略对比,所提出的策略蓄电池的输出电流更加平滑,功率波动降低了23.72%,超级电容输出功率波动增强,并测算该策略下整车单位里程能量耗损均值为32.61 Wh/km。仿真结果表明,所提策略能更充分利用储能系统的动力特性,有效延长蓄电池寿命。

    Abstract:

    Driving intention is an important factor affecting the energy distribution of hybrid energy vehicles. Considering that the low-frequency part of the demanded power has less impact, which can be borne by the battery first, and the high-frequency part has more impact, which can be borne by the supercapacitor first. A hybrid electric vehicle power distribution control method based on driving intention recognition is proposed, which increases the consideration of the "human" factor based on of only considering the "vehicle" factor in the traditional control strategy. Compared with the traditional control strategy, the battery's output current in the proposed strategy is smoother, the power fluctuation is reduced by 23.72%, and the output power fluctuation of the supercapacitor is enhanced. Under this strategy, the average energy consumption per unit mileage of the whole vehicle is 32.61 Wh/km. The simulation results show that the proposed strategy can make full use of the dynamic characteristics of the energy storage system and effectively prolong the battery life.

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唐强,汤赐,曾云龙,等.双源型纯电动汽车能量管理优化策略[J].电力科学与技术学报,2022,37(4):161-168.
TANG Qiang, TANG Ci, ZENG Yunlong, et al. Research on energy management strategyimprovement of dual source pure electric vehicle[J]. Journal of Electric Power Science and Technology,2022,37(4):161-168.

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  • 在线发布日期: 2022-09-23
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