摘要
为了更好地挖掘插电式混合动力汽车的节油潜力和降低使用成本,研究了基于GPS定位的能量管理策略。考虑油电使用成本差异,为使整车综合能耗成本最低,行程终了时电池荷电状态(SOC)应下降至放电下限。依托GPS定位,根据车辆当前所在位置和目的地,车辆运行工况可聚合归类成市内纯电工况、市内混合工况和城间混合工况等若干工况组合。利用庞德里亚金极小值原理构建Hamilton整车能耗成本函数,将SOC轨迹寻优问题简化成求解不同工况的2点边值问题。采用动态规划逆序算法生成基本SOC轨迹曲线,分析整车历史行驶数据,生成速度、时间影响因子对基本SOC轨迹曲线进行修正以减小偏差。以某插电式同轴并联混合动力汽车为例,开展基于WLTC工况的仿真实证研究。结果表明,基于GPS定位的整车能量管理策略节油率较CD/CS策略,城市工况提高了6.83%,综合工况提高了9.91%,验证了基于GPS定位的整车能量管理策略的有效性。
A strategy of energy management based on Global Positioning System is studied to improve potentiality of fuel efficiency of plug-in hybrid electric vehicles.Considering cost differential of fuel and electricity,in order to achieve the optimal energy cost,the state of charge(SOC)should be a prescribed minimum value when a vehicle arrives at its destination.According to current location and destination based on GPS,operating conditions of the vehicle can be aggregated into a combination of several duty cycles including local electric driving,local hybrid,supra-regional hybrid,etc.It can simplify obtainment of optimization trajectory of SOC to solve two-point boundary value at different operating conditions by developing Hamilton Vehicle Energy Consumption Function with Poundria Gold Minimum Principle.The basic trajectory of SOC based on inverse sequence algorithms for dynamic programming can be corrected by correction factors of speed and time,which are created by historical data of vehicle operation in order to reduce error.Simulations based on WLTC duty cycle are developed by a coaxial parallel plug-in hybrid vehicle as a case study.The results show that compared with the energy management strategy based on GPS and traditional CD/CS strategy,the rate of fuel saving in local duty cycle and hybrid duty cycle is increased by 6.83%and 9.91%,respectively.It verifies effectiveness of the energy management strategy for vehicles based on GPS.
作者
熊演峰
余强
闫晟煜
王恒凯
XIONG Yanfeng;YU Qiang;AN Shengyu;WANG Hengkai(School of Automobile Chang′an University,Xi′an 710064,China;China First Automotive Work shop limited company,Changchun 130061,China)
出处
《交通信息与安全》
CSCD
北大核心
2019年第6期103-110,共8页
Journal of Transport Information and Safety
基金
国家自然科学基金项目(21607014)
中央高校基本科研业务费专项资金项目(300102229110)资助
