Abstract
Hybrid electric vehicles integrate the both advantages of fuel vehicles and battery electric vehicles, which can not only effectively reduce fuel consumption while meeting power demand, but also achieve long-distance driving. The energy management strategy of hybrid electric vehicles can achieve better power distribution, so that the engine and electric motor can work in high efficiency regions. Current energy management strategies can be divided into three categories: rule-based, optimization-based and artificial intelligence-based control strategies. In this paper, the adaptive dynamic programming (ADP) algorithm in artificial intelligence-based category is summarized, the structural development, and the algorithm implementation and the application to energy management strategy research of ADP algorithm are analyzed, with its present inadequacies and future development trends pointed out.
| Translated title of the contribution | Review of Research on HEV Energy Management Based on Adaptive Dynamic Programming |
|---|---|
| Original language | Chinese (Traditional) |
| Pages (from-to) | 1490-1496 |
| Number of pages | 7 |
| Journal | Qiche Gongcheng/Automotive Engineering |
| Volume | 42 |
| Issue number | 11 |
| DOIs | |
| Publication status | Published - 25 Nov 2020 |