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浙江大学学报(工学版)
机械能源工程     
双轴驱动混合动力车辆能量管理策略
江冬冬, 李道飞, 俞小莉
浙江大学 动力机械及车辆工程研究所,浙江 杭州 310027
Energy management strategy of dual drive hybrid electric vehicle
JIANG Dong dong, LI Dao fei, YU Xiao li
Institute of Power Machinery and Vehicular Engineering, Zhejiang University, Hangzhou 310027, China
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摘要:

建立双轴驱动混合动力车辆(DDHEV)效率分析模型,并构建杭州市循环工况.根据动态规划控制策略的仿真结果获得新规则控制策略,评估新规则控制策略的节油效果.结果表明:相比于传统的规则控制策略,新规则控制策略可以使车辆燃油经济性在拥堵工况下提高35.5%,在顺畅工况下提高24.9%,在高架工况下提高4.8%.为提高新规则控制策略在不同工况下的适应性,采用学习向量量化神经网络识别实际运行工况,调整相应的控制参数,并评估节油效果.结果表明:在实际运行工况下,相比于采用单个新规则控制策略,采用工况识别来调整新规则控制策略参数可使燃油经济性提高28.2%以上.所提出的模型满足了双轴驱动混合动力车辆的实际应用需求,提高了车辆的燃油经济性.

Abstract:

The dual drive hybrid electric vehicle (DDHEV) was modeled and the Hangzhou driving cycles were constructed. The new rule based control strategy was extracted from the simulation results of the dynamic programming control strategy; the fuel-saving effect of the new rule based control strategy was evaluated. Results show that the fuel economy increases by 35.5% under the congestion driving cycle, by 24.9% under the smooth driving cycle and by 4.8% under the elevated highway driving cycle, respectively, compared with the traditional rule-based control strategy. To improve the adaptability of the new rule-based control strategy under different driving cycles, the learning vector quantization neural network was used to identify the comprehensive driving cycles; the control strategy parameters were adjusted according to the recognition results. Results indicate that, compared with a single new rule-based energy management strategy, the fuel economy increases by at least 28.2% under the comprehensive driving cycle  with the new rule-based energy management strategy parameters adjusted by driving cycle’s recognition. The proposed approach can meet the practical application demand of the dual drive hybrid vehicles;   the vehicle fuel economy is also improved.

出版日期: 2016-12-08
:  U 469. 72  
基金资助:

国家自然科学基金资助项目(51205345)|中央高校基本科研业务费专项资金资助项目;能源清洁利用国家重点实验室自主课题(ZJUCEU2016005);浙江省重点科技创新团队计划资助项目(2011R50008);浙江省教育厅科研资助项目(Y201121739).

通讯作者: 李道飞,男,副教授.ORCID:0000-0002-6909-0169.     E-mail: dfli@zju.edu.cn
作者简介: 江冬冬(1991—),男,博士生,从事车辆能量管理、智能驾驶研究.ORCID:0000-0001-9471-1775. E-mail:jiangdongdong@zju.edu.cn
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引用本文:

江冬冬, 李道飞, 俞小莉. 双轴驱动混合动力车辆能量管理策略[J]. 浙江大学学报(工学版), 10.3785/j.issn.1008-973X.2016.12.001.

JIANG Dong dong, LI Dao fei, YU Xiao li. Energy management strategy of dual drive hybrid electric vehicle. JOURNAL OF ZHEJIANG UNIVERSITY (ENGINEERING SCIENCE), 10.3785/j.issn.1008-973X.2016.12.001.

链接本文:

http://www.zjujournals.com/eng/CN/10.3785/j.issn.1008-973X.2016.12.001        http://www.zjujournals.com/eng/CN/Y2016/V50/I12/2245

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