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纯电动汽车电液复合再生制动控制 被引量:27

Electronic-hydraulic-compound regenerative braking control for electric vehicles
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摘要 针对纯电动汽车电液复合再生制动过程机电制动力的动态分配问题,通过对制动动力学和ECE R13-H制动法规的分析,从理论上确定纯电动汽车电液复合再生制动的安全运行范围。在安全制动范围内,开发了以最大限度回收能量为目标,达到需求制动强度而前、后轴又不抱死的再生制动控制流程,生成机电制动力分配矩阵。以制动强度分别为0.2,0.3,0.4,0.5和0.6,初始车速为16.67 m/s,结合ECE-EUDC道路循环,构建新的仿真循环,将车辆参数、制动力分配矩阵、道路循环嵌入ADVISOR2002软件。研究结果表明:仿真运行1个道路循环后,电池荷电状态SOC(State of charge)相对原策略有较明显的提高,提高幅度达4.5%,较好地回收了制动能量,更重要的是保证了制动安全,表明开发的控制策略是有效的。 The braking force distribution of the compound brake system on small electric vehicles was studied.The safe range of braking force distribution was established by analyzing braking dynamics and the ECE R13-H rule.In the safe braking range,a strategy with optimal energy recovery was developed based on the concept,i.e.braking forces should be distributed on front and rear axles in such a way that the regenerated energy was maximized,as long as the commanded deceleration was reached and neither front nor rear axle was locked.The distribution matrixes of the regenerative braking forces,front and rear hydraulic braking forces were created.A driving cycle was established based on some different braking intensities and ECE-EUDC driving cycle.Simulation on this control strategy was performed in ADVISOR 2002 by establishing an embedded simulation model.The simulation results show that the state-of-charge is progressed by 4.5%,and the proposed control strategy on regenerative braking is effective.
出处 《中南大学学报(自然科学版)》 EI CAS CSCD 北大核心 2011年第9期2687-2691,共5页 Journal of Central South University:Science and Technology
基金 湖南省教育厅重点项目(10A005)
关键词 电动汽车 再生制动 安全制动 控制策略 道路循环 electric vehicle regenerative braking safe braking control strategy driving cycle
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  • 1李军求,孙逢春,张承宁,李红林.纯电动大客车超级电容器参数匹配与实验[J].电源技术,2004,28(8):483-486. 被引量:19
  • 2曾小华,王庆年,李骏,王伟华,初亮.基于ADVISOR2002混合动力汽车控制策略模块开发[J].汽车工程,2004,26(4):394-396. 被引量:50
  • 3林成涛,王军平,陈全世.电动汽车SOC估计方法原理与应用[J].电池,2004,34(5):376-378. 被引量:198
  • 4张翔,赵韩,钱立军,张炳力.ADVISOR软件的混合仿真方法[J].计算机仿真,2005,22(2):203-206. 被引量:39
  • 5T Markel, et al, ADVISOR: a systems analysis tool for advanced vehicle modeling[J]. Journal of Power Sources, 110,2002. 255 - 266.
  • 6Kenneth J Kelly, et al. Test Results and Modeling of the Honda Insight using ADVISOR[ J]. SAE Future Transportation Technologies Conference, Costa Mesa, cA August, 2001.20 - 22.
  • 7K J Kelly, et al. Test Results and Modeling of the Honda Insight Using ADVISOR[J]. SAE Paper, 2001.1 -69.
  • 8Aaron Brooker, et al. ADVISOR Documentation [M]. US: National Renewable Energy Laboratory, 2002.
  • 9K B Wipke, M R Cuddy, S B Burch. ADVISOR2. 1 : A User Friendly Advanced Powertrain Simulation Using a Combined Backward/Forward Approach [ M ]. NREL/JA - 540 - 26839,1999.
  • 10Bhangu B S. Nonlinear observers for predicting state- of-charge and state-of-health of lead-acid batteries for hybrid-electric vehicles[J]. IEEE Transactions on Vehicular Technology, 2005, 54 (3) : 783-794.

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