电动汽车的建模与模拟——不同锂离子电池技术的实施

doi:10.3969/j.issn.1674-8484.2011.02.010

汽车安全与节能学报 ›› 2011, Vol. 2 ›› Issue (2): 165-174.DOI: 10.3969/j.issn.1674-8484.2011.02.010

电动汽车的建模与模拟——不同锂离子电池技术的实施

Dirk Hülsebusch1, Simon Schwunk2, Simon Caron2, Bernd Propfe1

1. German Aerospace Center (DLR), Institute of Vehicle Concepts, Pfaffenwaldring 38-40,
70569 Stuttgart, Germany;
2. Fraunhofer Institute for Solar Energy Systems ISE, Department of Electrical Energy Systems,
Heidenhofstrabe 2, 79110 Freiburg, Germany

收稿日期:2011-02-23 出版日期:2011-07-11 发布日期:2011-07-11
作者简介:Dirk Hülsebusch, now electrical engineer at Robert Bosch GmbH in the field of driver assistance systems. E-mail: dirk.huelsebusch@de.bosch.com
基金资助:
the funding of the research project “?Perspectives of Electric Vehicles with High Share of Distributed
and Renewable Energy Sources” by Federal Ministry of Economics and Technology in Germany

Modeling and Simulation of Electric Vehicles—The Effect of Different Li-Ion Battery Technologies

Dirk Hülsebusch1, Simon Schwunk2, Simon Caron2, Bernd Propfe1

1. German Aerospace Center (DLR), Institute of Vehicle Concepts, Pfaffenwaldring 38-40,
70569 Stuttgart, Germany;
2. Fraunhofer Institute for Solar Energy Systems ISE, Department of Electrical Energy Systems,
Heidenhofstrabe 2, 79110 Freiburg, Germany

Received:2011-02-23 Online:2011-07-11 Published:2011-07-11
About author:Dirk Hülsebusch, now electrical engineer at Robert Bosch GmbH in the field of driver assistance systems. E-mail: dirk.huelsebusch@de.bosch.com
Supported by:
the funding of the research project “?Perspectives of Electric Vehicles with High Share of Distributed
and Renewable Energy Sources” by Federal Ministry of Economics and Technology in Germany

摘要/Abstract

摘要： 受限制的续航距离是锂离子电池电动汽车的缺点之一。特别是在低温下，由于低的电池容量、功率，以及辅助设备的附带能量需求，使得该续航距离又被减少。选用了一种基于模型的方法，来比较几种不同的电池技术的车内性能。设定了不同的试验情景，分析电池特性。模拟结果表明：由于电池容量的减少，限制了制动器能量的恢复，因此，在城市近郊及低温环境下，动力系的能量需求明显升高。此外，针对不同的温度、电池尺寸和驾驶周期，分析了电池和动力系的效率。最后，针对不同驾驶周期、温度和附加载荷，研究了电动续航距离。

关键词: 电池动力汽车, 锂离子, 电动续航距离, 能量消耗, 热效应, 建模, 模拟

Abstract: Limited electrical range is one of the main drawbacks of battery electric vehicles. Especially at low temperatures the range is reduced due to low battery capacity and power as well as additional energy demand for auxiliaries. A model based approach was chosen to compare different battery technologies regarding their in-vehicle performance. Several battery technologies were modeled and implemented into a simulation environment for vehicle systems. In addition, varying test cases were defined to analyze the battery characteristics and impact on the vehicle performance. Simulation results show that the energy demand of the power train rises significantly in urban surroundings and low ambient temperature conditions. The recuperation of brake energy is limited by the reduced battery power capability. Furtheremore, the efficiency of the battery and the power train was analyzed regarding varying temperatures, battery sizes and driving cycles. Finally, the electrical range was studied taking into account different driving cycles, temperatures, and auxiliary loads.

Key words: battery electric vehicle, Li-ion, electrical range, energy consumption, thermal effects, modeling, simulation

中图分类号:

Dirk Hülsebusch, Simon Schwunk, Simon Caron, Bernd Propfe. 电动汽车的建模与模拟——不同锂离子电池技术的实施[J]. 汽车安全与节能学报, 2011, 2(2): 165-174.

Dirk Hülsebusch, Simon Schwunk, Simon Caron, Bernd Propfe. Modeling and Simulation of Electric Vehicles—The Effect of Different Li-Ion Battery Technologies[J]. Journal of Automotive Safety and Energy, 2011, 2(2): 165-174.

参考文献

[1] Mock P, Hülsebusch D, Ungethüm J, et al. Electric vehicles: A model based assessment of future market prospects and environmental impacts [J]. World Electric Vehicle Journal, 2009, 3: 1-14.

[2] Vincent C A. Lithium batteries: A 50-year perspective, 1959-2009 [J]. Solid State Ionics, 2000, 134: 159-167 .

[3] Nishi Y. Lithium ion secondary batteries: Past 10 years and future [J]. J of Power Sources, 2001, 100: 101-106.

[4] Johnson V H. Battery performance models in ADVISOR [J]. J of Power Sources, 2001, 110: 321-329.

[5] Gao L, Liu S, Dougal R A. Dynamic lithium-ion battery model for system simulation [J]. IEEE Trans on Components and Packaging Technologies, 2002, 25(3): 495-505.

[6] Chen M, Rincon-Mora G A. Accurate electrical battery model capable of predicting runtime and I-V performance [J]. IEEE Trans on Energy Conversion, 2006, 21(2): 504-511.

[7] Abu-Shark S, Doerffel D. Rapid test and non-linear model characterization of solid-state lithium-ion batteries [J]. Journal of Power Sources, 2004, 130: 266-274.

[8] Liaw B Y, Nagasubramanian G, Jungst R G, et al. Modeling of lithium-ion cells: A simple equivalent-circuit model approach [J]. Solid State Ionics, 2004, 175: 835-839.

[9] Dubarry M, Liaw B Y. Development of a universal modeling tool for rechargeable lithium batteries [J]. J of Power Sources, 2007, 174: 856-860.

[10] Hülsebusch D, Ungethüm J, Braig T, et al. Multidisciplinary simulation of vehicles [J]. ATZ Worldwide Magazines, 2009, 111: 50-55.

[11] Tiller M. Introduction to Physical Modeling with Modelica, 2 [M]. Boston, US: Kluwer Academic Publish, 2004.

[12] Dempsey M, Gäfert M, Harman P, et al. Coordinated automotive libraries for vehicle system modeling [C]// Proc of the 5th Inter Modelica Conf, Vienna, 2006, vol. 1: 33-41.

[13] Schweiger C, Dempsey M, Otter M. The Power Train Library: New concepts and new fields of application [C]// Proc of the 4th Int Modelica Conf, Hamburg, 2005-03-07/08: 457-466.

[14] Andre M. The ARTEMIS European driving cycles for measuring car pollutant emissions [J]. Science of the Total Environment, 2004, 334/335: 73-84.

[15] Linzen D, Karden E, Schiffer J, et al. Thermal investigation and modeling of batteries for automotive applications [R]. EVS 21, Monaco, 2005.

电动汽车的建模与模拟——不同锂离子电池技术的实施

Modeling and Simulation of Electric Vehicles—The Effect of Different Li-Ion Battery Technologies

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