摘要
为提高大学生方程式(FSAE)纯电动赛车耐久赛成绩,开发一套适用于FSAE电动赛车的再生制动系统.对ADVISOR软件二次开发,通过修改整车模型、车轮模型、驱动控制模型及电池模型等,建立适用于FSAE纯电动赛车的仿真平台;为保证再生制动系统的稳定性,降低赛车控制器和传感器精度对系统的影响,提出一种后轴并联制动力分配控制策略,并进行了耐久赛工况分析;对再生制动系统控制器进行软硬件开发,并进行实车试验.仿真及试验中再生制动能量回收率分别达到20.89%和19.07%,所设计的再生制动系统可有效回收FSAE纯电动赛车的制动能量,提高耐久赛成绩.
To improve the performance of FSAE( Formula SAE) electric racing car in the endurance race,a whole regenerative braking system was designed accordingly. Firstly,the simulation software ADVISOR was redeveloped and the vehicle model,wheel model,driving control model and battery model were modified. Secondly,to ensure the system stability and reduce the influences of controller and sensor accuracy,a rear-wheel parallel control strategy of regenerative braking system was proposed and the simulation of this control strategy was complimented in ADVISOR. Thirdly,the regenerative braking system controller was designed and racing car trials were carried out.The results showed that in the simulations and trials,the regenerating efficiencies were 20. 89% and 19. 07%respectively. The regenerative braking system with the rear-wheel parallel control strategy could improve the performance of FSAE racing car effectively.
引文
[1]DUOBA M,BOHN T,LOHSE-BUSCH H.Investigating possible fuel economy bias due to regenerative braking in testing HEVs on 2WD and 4WD chassis dynamometers[J].SAE transactions,2005,114(4):324-334.DOI:10.4271/2005-01-0685.
[2]李贺.纯电动汽车的再生制动系统与ABS集成控制策略研究[D].武汉:武汉理工大学,2012.DOI:10.7666/d.y2099088.LI He.A study on regenerative of braking system of pure[D].Wuhan:Wuhan University of Technology,2012.DOI:10.7666/d.y2099088
[3]WIESBADEN S F.Mazda’s i-ELOOP:saves engine power,boosts fuel efficiency[J].Auto Tech Review,2013,2(2):64-64.DOI:10.1365/s40112-013-0236-8.
[4]EHSANI M,GAO Yimin,MILLER J M.Hybrid electric vehicles:architecture and motor drives[J].Proceedings of the IEEE,2007,95(4):719-728.DOI:10.1109/JPROC.2007.892492.
[5]仇斌.电动城市公交车制动能量回收过程中的能量效率研究[D].北京:清华大学,2011.QIU Bin.Research on the energy efficiency of electric city bus during regenerative braking[D].Beijing:Tsinghua University,2011.
[6]SANGTARASH F,ESFAHANIAN V,NEHZATI H,et al.Effect of different regenerative braking strategies on braking performance and fuel economy in a hybrid electric bus employing CRUISE vehicle simulation[J].SAE International Journal of Fuels and Lubricants,2009,1(1):828-837.DOI:10.4271/2008-01-1561.
[7]AHN J K,JUNG K H,KIM D H,et al.Analysis of a regenerative braking system for hybrid electric vehicles using an electro-mechanical brake[J].International Journal of Automotive Technology,2009,10(2):229-234.DOI:10.1007/s12239-009-0027-z.
[8]PENG Dong,ZHANG Y,YIN Chengliang,et al.Combined control of a regenerative braking and antilock braking system for hybrid electric vehicles[J].International Journal of Automotive Technology,2008,9(6):749-757.DOI:10.1109/STUDENT.2010.5686984.
[9]OLEKSOWICZ S A,BURNHAM K J,BARBER P,et al.Investigation of regenerative and anti-lock braking interaction[J].International Journal of Automotive Technology,2013,14(4):641-650.DOI:10.1007/s12239-013-0069-0.
[10]YANG M J,JHOU H L,MA B Y,et al.A cost-effective method of electric brake with energy regeneration for electric vehicles[J].IEEE Transactions on Industrial Electronics,2009,56(6):2203-2212.DOI:10.1109/TIE.2009.2015356.
[11]SEKI H,ISHIHARA K,TADAKUMA S.Novel regenerative braking control of electric power-assisted wheelchair for safety downhill road driving[J].IEEE Transactions on Industrial Electronics,2009,56(5):1393-1400.DOI:10.1109/TIE.2009.2014747.
[12]SANKAVARAM C,PATTIPATI B,PATTIPATI K R,et al.Fault diagnosis in hybrid electric vehicle regenerative braking system[J].IEEE Access,2014,2:1225-1239.DOI:10.1109/ACCESS.2014.2362756.
[13]JIWEON K,KO S,SON H,et al.Development of brake system and regenerative braking cooperative control algorithm for automatictransmission-based hybrid electric vehicles[J].IEEE Transactions on Vehicular Technology,2015,64(2):431-440.DOI:10.1109/TVT.2014.2325056.
[14]赵国柱.电动汽车再生制动若干关键问题研究[D].南京:南京航空航天大学,2012.ZHAO Guozhu.Research on key problems of regenerative braking for electric vehicles[D].Nanjing:Nanjing University of Aeronautics and Astronautics,2012.
[15]曹建波,曹秉刚,王军平,等.基于RBF神经网络调节的电动车驱动和再生制动滑模控制[J].吉林大学学报(工学版),2009,39(4):1019-1024.DOI:10.13229/j.cnki.jdxbgxb2009.04.048.CAO Jianbo,CAO Binggang,WANG Junping,et al.Sliding mode control for driving and regenerative braking of electric vehicle based on RBF neural network[J].Journal of Jilin University(Engineering and Technology Edition),2009,39(4):1019-1024.DOI:10.13229/j.cnki.jdxbgxb2009.04.048.