基于非线性二次规划算法的电动汽车传动系参数设计与优化  

Design and Optimization of Electric Vehicle Powertrains Based on NLPQL

作　　者：尹安东[1] 宣亮[1] 

机构地区：[1]合肥工业大学机械与汽车工程学院,安徽合肥230009

出　　处：《汽车工程学报》2014年第6期411-417,共7页Chinese Journal of Automotive Engineering

基　　金：国家高技术研究发展计划(863计划)(2012AA111401);安徽省自然科学基金(1208085ME78)

摘　　要：以某款电动汽车作为研究对象,根据整车设计技术的要求进行了动力传动系参数匹配设计。基于Matlab/Simulink和ISIGHT软件建立了纯电动汽车动力部件和整车仿真模型,并采用非线性二次规划算法(Nonlinear Quadratic Programming Algorithm,NLPQL)对传动系参数进行优化。对优化前后整车动力性和经济性进行仿真分析比较,结果表明,在满足整车动力性设计指标的前提下,在NEDC工况下优化后整车续驶里程提高了16.7%。在转鼓试验台上实车测试表明,所设计的动力传动系统能满足设计要求,同时验证了建立的整车模型的准确性。A type of electric vehicle was chosen as a research object. The transmission system parameters were selected according to the design requirements. Dynamic units and a whole vehicle simulation model of pure electric vehicles were established by using the software Matlab/Simulink and the optimization design software ISIGHT, and the driving parameters were optimized through nonlinear quadratic programming algorithm （NLPQL）. The simulation analysis of dynamic property and fuel economy of the whole vehicle was conducted before and after optimization, and the results show that the driving range after optimization is improved by 16.7% under NEDC while meeting the dynamic performance specifications of the whole vehicle design. The test results on chassis dynamometers show that the powertrain system meets the design requirements and the simulation model was validated.

关 键 词：电动汽车 动力传动系 非线性二次规划算法 参数优化 

分 类 号：U469.72[机械工程—车辆工程]