增程式燃料电池物流车动力系统设计与控制
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摘要
为了解决一般燃油物流车由于尾气排放对环境造成污染以及纯电动汽车行驶里程短并且充电时间较长的问题,在纯电动车结构基础上提出一种增程式燃料电池物流车,其动力完全由电驱动,具有地面充电和车载供电两种功能;然后,对物流车进行动力系统设计和参数匹配,针对性地提出一种改进的模糊控制策略,并运用恒温器控制策略进行离线仿真对比和实车转鼓测试。结果表明:运用模糊控制策略的续驶里程比恒温器控制策略的续驶里程增加,并且燃料电池效率提升约3. 1%,同时实车转鼓测试结果也验证了设计的有效性。
In order to solve these problems of general fuel logistics cars cause pollution to the environment due to exhaust emissions and pure electric vehicles have shorter driving ranges and longer charging times. For this,on the basis of pure electric vehicles' structure,puts forward an extended-range fuel cell logistics car,which is powered entirely by electricity,and has two functions of ground charging and on-board power supply. Then,carries out the design of the dynamic system and matching parameters of the car,puts forward an improved method of fuzzy control strategy,and a thermostat control strategy is used to carry out off-line simulation comparison and real vehicle drum test. Finally,the simulation results show that the driving mileage of the fuzzy control strategy is increased and the fuel cell efficiency increases by 3. 1 %. At the same time,the drum test results also verify the validity of the design.
In order to solve these problems of general fuel logistics cars cause pollution to the environment due to exhaust emissions and pure electric vehicles have shorter driving ranges and longer charging times. For this,on the basis of pure electric vehicles' structure,puts forward an extended-range fuel cell logistics car,which is powered entirely by electricity,and has two functions of ground charging and on-board power supply. Then,carries out the design of the dynamic system and matching parameters of the car,puts forward an improved method of fuzzy control strategy,and a thermostat control strategy is used to carry out off-line simulation comparison and real vehicle drum test. Finally,the simulation results show that the driving mileage of the fuzzy control strategy is increased and the fuel cell efficiency increases by 3. 1 %. At the same time,the drum test results also verify the validity of the design.
引文
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[2]赵振宇.新能源汽车技术概述[M].北京:北京理工大学出版社,2016:1-8.
[3]陈全世.先进电动车技术[M].北京:化学工业出版社,2013:23-30.
[4]靳晓飞.燃料电池增程式商用车动力系统特性的仿真分析[D].北京:北京交通大学,2016.
[5]付甜甜.电动汽车用氢燃料电池发展综述[J].电源技术,2017,41(4):651-653.
[6]张来云,刘旭鹏.增程式燃料电池汽车动力系统匹配研究[J].上海汽车,2016,10(5):8-14.
[7]刘鹏.燃料电池汽车动力电池SOC估算及能量管理策略研究[D].武汉:武汉理工大学,2014.
[8]GONG X W,WU D J,MA J.Matching design and simulation of powertrain parameters for electric vehicles[J].Advanced Materials Research,2013(655/656/657):596-602.
[9]于广鹏,谭德荣,田厚杰,等.纯电动微型货车动力系统设计及仿真分析[J].农业设备与车辆工程,2015,53(2):12-15.
[10]WANG W L,LIU W Z,TAO B Q,et al.Parameter Design and Simulation Research of Power System for Electric Vehicle[J].Applied Mechanics&Materials,2014(496/497/498/499/500):969-973.
[11]赵金龙.增程式电动汽车动力系统参数匹配及能量管理策略研究[D].重庆:重庆大学,2014.
[12]杨培刚,周育才,刘志强,等.基于ADVISOR的纯电动汽车复合电源建模与仿真[J].电力科学与技术学报,2015,30(3):66-71.
[13]杨超.面向公交客车应用的混合动力系统机电耦合控制研究[D].秦皇岛:燕山大学,2015.
[14]石良辰.系统仿真超级学习手册[M].北京:人民邮电出版社,2014:330-346.
[15]窦国伟,马涛峰,马先萌.基于模糊控制算法的增程式电动车能量分配策略[J].上海汽车,2012(3):10-14.