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Control Algorithm of Electric Vehicle in Coasting Mode Based on Driving Feeling 被引量:5
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作者 SUN Daxu LAN Fengchong +1 位作者 ZHOU Yunjiao CHEN Jiqing 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2015年第3期479-486,共8页
Coasting in gear is a common driving mode for the conventional vehicle equipped with the internal combustion engine(ICE), and the assistant braking function of ICE is utilized to decelerate the vehicle in this mode.... Coasting in gear is a common driving mode for the conventional vehicle equipped with the internal combustion engine(ICE), and the assistant braking function of ICE is utilized to decelerate the vehicle in this mode. However, the electric vehicle(EV) does not have this feature in the coasting mode due to the relatively small inertia of the driving motor, so it will cause the driver cannot obtain the similar driving feeling to that of the conventional vehicle, and even a traffic accident may occur if the driver cannot immediately adapt to the changes. In this paper, the coasting control for EV is researched based on the driving feeling. A conventional vehicle equipped with continuously variable transmission(CVT) is taken as the reference vehicle, and the combined simulation model of EV is established based on AVL CRUISE and MATLAB/Simulink. The torque characteristic of the CVT output shaft is measured in coasting mode, and the data are smoothed and fitted to a polynomial curve. For the EV in coasting mode, if the state of charge(SOC) of the battery is below 95%, the polynomial curve is used as the control target for the torque characteristic of the driving motor, otherwise, the required torque is replaced by hydraulic braking torque to keep the same deceleration. The co-simulation of Matlab/Simulink/Stateflow and AVL CRUISE, as well as the hardware-in-loop experiment combined with d SPACE are carried out to verify the effectiveness and the real-time performance of the control algorithm. The results show that the EV with coasting braking control system has similar driving feeling to that of the reference vehicle, meanwhile, the battery SOC can be increased by 0.036% and 0.021% in the initial speed of 100 km/h and 50 km/h, respectively. The proposed control algorithm for EV is beneficial to improve the driving feeling in coasting mode, and it also makes the EV has the assistant braking function. 展开更多
关键词 electric vehicle coasting braking control algorithm engine braking motor braking
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分布式电驱动汽车AFS与电液复合制动集成控制 被引量:13
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作者 袁希文 文桂林 周兵 《湖南大学学报(自然科学版)》 EI CAS CSCD 北大核心 2016年第2期28-35,共8页
针对分布式电驱动汽车,以实现车辆主动安全性同时兼顾制动能量回收为目标,提出一种主动前轮转向(AFS)与电液复合制动集成的控制策略.AFS控制器采用滑模变结构控制,滑移率控制器采用滑模极值搜索算法,基于分层结构(上层为期望制动力矩计... 针对分布式电驱动汽车,以实现车辆主动安全性同时兼顾制动能量回收为目标,提出一种主动前轮转向(AFS)与电液复合制动集成的控制策略.AFS控制器采用滑模变结构控制,滑移率控制器采用滑模极值搜索算法,基于分层结构(上层为期望制动力矩计算模块,中层为考虑执行器带宽的动态控制分配模块,下层为电机与液压复合执行器),并考虑位置与速率约束.转向制动时,考虑车辆纵向动力学对侧向动力学的影响,引入前轮转角对滑移率控制律进行了修正.在MATLAB/Simulink中建立七自由度整车模型,对控制算法进行了验证.结果表明:分离路面直线制动时,所提出的控制策略可以同时保证制动能量回收和制动方向稳定性;转弯制动时,可以更好地跟踪理想横摆角速度,提高了车辆的侧向稳定性. 展开更多
关键词 车辆工程 电液复合制动 主动前轮转向 能量回收 控制策略 极值搜索算法
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结合遗传算法的四轮毂电机电动汽车制动能量回收控制策略 被引量:6
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作者 张民安 储江伟 李春雷 《重庆理工大学学报(自然科学)》 CAS 北大核心 2021年第10期77-84,共8页
以四轮毂电机电动汽车制动能量回收控制策略为研究对象,提高其制动能量回收效率为目标,确定其动力系统参数,建立四轮毂电机制动能量回收发电模型,并利用遗传算法求解多约束函数,根据遗传算法求解的发电效率模型结果以及轮毂电机制动能... 以四轮毂电机电动汽车制动能量回收控制策略为研究对象,提高其制动能量回收效率为目标,确定其动力系统参数,建立四轮毂电机制动能量回收发电模型,并利用遗传算法求解多约束函数,根据遗传算法求解的发电效率模型结果以及轮毂电机制动能量回收影响因素制定能量回收控制策略;基于AVL cruise与Matlab/Simulink搭建制动能量回收控制策略联合仿真模型并区分不同的制动强度,分别在NEDC与CLTCP工况下对制动能量回收控制策略进行仿真分析。结果表明:在NEDC工况下,基于遗传算法的制动能量回收控制策略比AVL cruise的前后电机转矩平均分配控制策略多节约能量28 kJ;在CLTCP工况下,制动能量回收控制策略比AVL cruise控制多节省了3.15%的SOC。 展开更多
关键词 轮毂电机 电动汽车 制动能量回收 遗传算法 控制策略
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