基于分层式控制的混合动力汽车生态驾驶研究

doi:10.19562/j.chinasae.qcgc.2023.04.003

Abstract

Abstract:

The development of intelligent transportation system technology provides a great opportunity to further improve the driving performance of automotive vehicles. The eco-driving of plug-in hybrid electric vehicles （PHEV） involves three issues， namely， how to use dynamic traffic information for longitudinal driving speed planning， optimal rapid planning of global battery state of charge （SOC）， and the real-time energy management of the power system. This paper devises a hierarchical control strategy that combines the accuracy model with both calculation efficiency and solution accuracy to solve these problems. In the upper control layer， dynamic traffic light signal information is incorporated into the velocity optimization process to improve driving comfort. In the middle control layer， the SOC fast global optimal planning is realized based on the convex optimization by fitting the powertrain model. Finally， in order to eliminate the error caused by the fitting model， based on the original nonlinear model， an adaptive equivalent consumption minimization strategy （A-ECMS） is established in the lower control layer through feedback control. The results show that the driving comfort is improved by 75.92% compared with the strategy without optimization in velocity， and the fuel economy is improved by 7.39% and 10.91% respectively compared with that of two often used linear programming-based energy management strategies （EMSs）.

Key words: intelligent transportation system, plug-in hybrid electric vehicles, eco-driving, hierarchical control

Yapeng Li,Xiaolin Tang,Xiaosong Hu. Study on Eco-driving of PHEVS Based on Hierarchical Control Strategy[J].Automotive Engineering, 2023, 45(4): 551-560.

Figures/Tables 23

空气阻力系数 c_d	0.7
风阻面积 A_f/m²	7.54
空气密度 $ρ$ /（kg·m^-3）	1.183 9
重力加速度 g /（m·s^-2）	9.81
滚动阻力 c_r	0.007
整车质量 m_veh /kg	14 661
车轮有效半径 r_we /m	0.509
主减速比 i₀	4.7
惯性质量 J_veh /（kg·m²）	41.8
附加功率 P_aux /kW	7

References 22

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	行驶时间/s	最大速度/（m·s^-1）	平均速度/（m·s^-1）	加速度RMSE
速度有优化	1 683	14.5	8.613 8	0.202 2
速度无优化	1 551	15	9.346 1	0.839 8

项目	燃油消耗/g	SOC终值
本文策略	741.39	0.301 4
线性规划1	800.55	0.335 2
线性规划2	832.21	0.352 5

Study on Eco-driving of PHEVS Based on Hierarchical Control Strategy

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SPaT	红灯t_r	48	60	77	83
SPaT	绿灯t_g	26	30	36	44