Energy Consumption Analysis of a Range-extender Electric Vehicle Based on a Dynamic Programming Algorithm and Road Conditions

被引：0
|
作者：
Feng J. [1 ,2 ]
Han Z. [1 ,2 ]
Gao X. [1 ,2 ]
Wu Z. [1 ,2 ]
Sun Y. [1 ,2 ]
机构：
[1] School of Automotive Studies, Tongji University, Shanghai
[2] Clean Energy Automotive Engineering Center, Shanghai
来源：
Tongji Daxue Xuebao/Journal of Tongji University | 2019年 / 47卷
关键词：
Dynamic programming; Energy consumption; Hybrid electric vehicle; Range extender; Road condition;
D O I：
10.11908/j.issn.0253-374x.19722
中图分类号：
学科分类号：
摘要：
The influence of different road conditions on the vehicle's energy consumption was studied based on a dynamic programming (DP) energy management strategy for a new range-extender hybrid system. According to different road conditions, mathematical models of energy losses were established by taking the state of charge, battery discharge capacity, vehicle demand power as state variables and range-extender power as control variable. With the urban driving cycle(UDC), new European driving cycle(NEDC), worldwide light-duty test cycle(WLTC)as the experimental driving cycles, vehicles' fuel consumptions were obtained based on the traditional Rules energy management strategy and DP energy management strategy. The simulation results show that different road conditions have different impacts on the vehicle's energy consumption, and the vehicle using the DP strategy can improve its fuel economy by 10.42%~24% compared with the one using the traditional management strategy. © 2019, Editorial Department of Journal of Tongji University. All right reserved.
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页码：115 / 119
页数：4
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