Real-Time Energy Management Strategy Based on Driver-Action-Impact MPC for Series Hybrid Electric Vehicles
Precise prediction of future vehicle information can improve the control efficiency of hybrid electric vehicles. Nowadays, most prediction models use previous information of vehicles to predict future driving velocity, which cannot reflect the impact of the driver and the environment. In this paper,...
Saved in:
| Main Authors: | Shumin Ruan, Yue Ma |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2020-01-01
|
| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2020/8843168 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
ECMS-Based MPC Strategy for Multi-Mode Hybrid Electric Trucks
by: Longjian Li, et al.
Published: (2025-01-01) -
Pareto Front Analysis of a Multiobjective MPC-Based EMS for a Series Hybrid Electric Tractor
by: Gonzalo Curiel-Olivares, et al.
Published: (2024-01-01) -
MPC based frequency control of an autonomous microgrid integrated with electric vehicles
by: Abdullahi Bala Kunya, et al.
Published: (2025-06-01) -
Hierarchical Control of Energy Router Based on MPC and Real-Time Optimization Methods for Distribution Network
by: Jianfeng Yang, et al.
Published: (2025-06-01) -
Trajectory Tracking and Yaw Stability Control for Electric Vehicles Based on LTV-MPC
by: GAO Zhenfei
Published: (2025-04-01)