|Table of Contents|

[1] Wang Liangmo, Bai Weijun,. Development and simulation of electric vehicle based on ADVISOR [J]. Journal of Southeast University (English Edition), 2006, 22 (2): 196-199. [doi:10.3969/j.issn.1003-7985.2006.02.011]
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Development and simulation of electric vehicle based on ADVISOR()
基于ADVISOR电动汽车的开发和仿真
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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:
22
Issue:
2006 2
Page:
196-199
Research Field:
Traffic and Transportation Engineering
Publishing date:
2006-06-30

Info

Title:
Development and simulation of electric vehicle based on ADVISOR
基于ADVISOR电动汽车的开发和仿真
Author(s):
Wang Liangmo, Bai Weijun
School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
王良模, 柏卫军
南京理工大学机械工程学院, 南京 210094
Keywords:
electric vehicle motor dynamics ADVISOR
电动汽车 电动机 动力学 ADVISOR
PACS:
U469.72
DOI:
10.3969/j.issn.1003-7985.2006.02.011
Abstract:
Based on the electric vehicle simulator ADVISOR(advanced vehicle simulator), the electric vehicle which has a wheel driving system was developed and named ELVEC.The ELVEC consists of wheel, axle, body, motor/controller, energy storage, power bus, etc.The acceleration, grading, driving speed and fuel economy of the ELVEC are analyzed.The results show that the ELVEC has good dynamic performance and fuel economy.It is suitable for the driving conditions of the start-accelerate-stop and the low speed driving conditions in urban areas.At the same time, the motor performance, energy storage(batteries)and energy management of the ELVEC are simulated.It is concluded that the efficiencies of the motor, batteries and driveline are high, and the energy management and the fuzzy logic control strategy are efficient.
基于电动汽车仿真软件ADVISOR, 开发了双电机分散驱动轮式电动汽车ELVEC.ELVEC由车身、电动机、能量管理和能量存储(电池组)等模块组成.进行了ELVEC电动汽车的加速性能、爬坡能力、行驶车速和燃料经济性的分析.结果表明, 该车具有良好的动力学性能和燃料经济性, 适合在低速、频繁启动的市区内行驶.同时, 对电动机特性和能量存储(电池组)及能量管理特性进行了仿真分析, 得出 ELVEC电动汽车的电动机、电池和驱动系统等均具有较高的效率, 能源管理系统和模糊逻辑控制在能量的分配、管理上十分有效.

References:

[1] Aaron Brooker, Terry Hendricks, Valerie Johnson, et al. ADVISOR 3.2 documentation[EB/OL].http://www.ctts.nrel.gov/analysis.2001-08-21/2003-05-10.
[2] Wipke K, Cuddy M, Burch S.ADVISOR 2.1:a user-friendly advanced powertrain simulation using a combined backward/forward approach[A].In:IEEE Transactions on Vehicular Technology, Special Issue on Hybrid and Electric Vehicles[C].Columbus, OH, USA, 1999.1-10.
[3] Chen Qingquan, Sun Fengchun, Zhu Jiaguan.Modern electric vehicle technology[M].Beijing:Beijing University of Science and Technology Press, 2002.88-98.(in Chinese)
[4] Kelly Kenneth J, Zolot Matthew, Glinsky Gerard, et al.Test results and modeling of the Honda Insight using ADVISOR(No.2001-01-2537)[A].In:SAE Transaction [C]. Detroit: Society of Automobile Engineers, 2001.1-11.
[5] Dave Crolla, Yu Fan.Vehicle dynamics and control [M].Beijing: China Communications Press, 2004.10-50.(in Chinese)
[6] Senger R D, Merkle M A, Nelson D J.Validation of ADVISOR as a simulation tool for a series hybrid electric vehicle(No.981133)[A].In:SAE Transaction [C]. Detroit: Society of Automobile Engineers, 1998.95-115.
[7] Senger R D, Merkle M A, Nelson D J.Design and performance of the 1997 Virginia tech hybrid electric future car(SP-1359)[A].In: SAE Transaction[C]. Detroit: Society of Automobile Engineers, 1997.99-112.
[8] Bhatikar Sanjay R, Mahajan Roop L, Wipke Keith, et al.Artificial neural network based energy storage system modeling for hybrid electric vehicles(No.2000-01-1564)[A].In: SAE Transaction[C]. Detroit: Society of Automobile Engineers, 2000.1-24.

Memo

Memo:
Biography: Wang Liangmo(1963—), male, doctor, professor, liangmo@mail.njust.edu.cn.
Last Update: 2006-06-20