Short-Term Optimal Energy Management of Power-Split Hybrid Electric Vehicles Under Velocity Tracking Control

被引:20
|
作者
Zhang, Jiangyan [1 ]
Shen, Tielong [2 ]
Kako, Junichi [3 ]
机构
[1] Dalian Minzu Univ, Coll Mech & Elect Engn, Dalian 116600, Peoples R China
[2] Sophia Univ, Dept Engn & Appl Sci, Tokyo 1028554, Japan
[3] Toyota Motor Co Ltd, Higashi Fuji Res Ctr, Shizuoka 4101107, Japan
基金
中国国家自然科学基金;
关键词
Hybrid electric vehicle; energy management; powertrain dynamics; real-time control; short-term optimization; velocity control; PONTRYAGINS MINIMUM PRINCIPLE; MODEL-PREDICTIVE CONTROL; ALGORITHM;
D O I
10.1109/TVT.2019.2950042
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this paper, a powertrain control strategy for the real-time energy optimization of a hybrid electric vehicle (HEV) with planetary gear system is presented. Based on the deduced actual powertrain dynamics, the aim is to develop a short-term energy economy optimization strategy to fit the frequent transient operations of the HEV. The effort is paid to design a controller that is not the high-level control for long-term optimization with constraint of the battery state of charge (SoC). Taking the real-time driver demand as constraint, a hierarchical control scheme that guarantees the asymptotic tracking for the references of the powertrain status in terms of vehicle speed and engine speed is proposed by using the framework of Lyapunov stability theory. Under this precondition, an optimal torque distribution solution that minimizes the instantaneous energy consumption defined as the total cost on both of the fuel and electricity is found. The performance of the control system is validated by closed-loop simulations with a full-scale prototype HEV simulator. The results demonstrate the potential of the proposed strategy in terms of energy economy and in tracking the references of the powertrain status.
引用
收藏
页码:182 / 193
页数:12
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