• CN:11-2187/TH
  • ISSN:0577-6686

›› 2009, Vol. 45 ›› Issue (1): 167-173.

• 论文 • 上一篇    下一篇

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轻度混合动力汽车再生制动能量管理策略

舒红;秦大同;胡明辉;杨亚联;叶明   

  1. 重庆大学机械传动国家重点实验室
  • 发布日期:2009-01-15

Regenerative Braking Energy Management Strategy for Mild Hybrid Electric Vehicles

SHU Hong;QIN Datong;HU Minghui;YANG Yalian;YE Ming   

  1. The State Key Laboratory of Mechanical Transmission, Chongqing University
  • Published:2009-01-15

摘要: 提出以满足ECE制动法规为前提,蓄电池再生制动能量回收最大为优化目标的轻度混合动力汽车再生制动能量管理策略。基于发电机效率图、蓄电池充电效率图和发动机反拖阻力矩图,建立发电机和行车制动系的制动力分配优化模型,分别获得采用有级式变速器和无级变速传动的轻度混合动力汽车在不同制动强度下的再生制动能量管理控制规则。分别对采用单离合器—有级式变速器、双离合器—有级式变速器和无级变速器三种传动型式的轻度混合动力汽车进行NEDC循环工况仿真,结果表明采用双离合器—有级式变速器的轻度混合动力汽车再生能量效率最高。对采用有级式变速器的混合动力系统完成了基于dSPACE快速控制原型技术的再生制动控制试验。

关键词: 混合动力汽车, 能量管理策略, 无级变速器, 再生制动

Abstract: A regenerative braking energy management strategy for mild hybrid electric vehicles (HEVs) is proposed, whose optimal object is to maximize the braking energy recovery of battery under the precondition of satisfying braking regulation of ECE. Based on the generator efficiency map, the battery efficiency map and the engine drag torque map, the optimization model of braking force distribution of generator and brake system is build, and the regenerative braking energy management rules under different braking ratio are obtained for the mild HEVs with manual transmission and continuously variable transmission respectively. The simulations for the mild HEVs with three types of transmissions, i. e. single clutch–manual transmission, double clutches–manual transmission and continuously variable transmission, are finished under the NEDC cycle mode respectively, and the results indicate that the regenerative energy efficiency of mild HEVs with double clutches–manual transmission is the highest. The braking control test of the mild hybrid power train with manual transmission is carried out based on the rapid control prototyping technology of dSPACE.

Key words: Continuously variable transmission, Energy management strategy, Hybrid electric vehicles, Regenerative braking

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