English | 繁體

Search in the results

UM

Browse/Search Results:  1-2 of 2 Help

Selected(0)Clear Items/Page:    Sort:
A Novel Energy Management Strategy for PHEV Considering Cabin Heat Demand Under Low Temperature Based on Reinforcement Learning Journal article
Li, Kai, Chen, Hong, Hou, Shengyan, Eriksson, Lars, Zhao, Jing, Ding, Shihong, Gao, Jinwu. A Novel Energy Management Strategy for PHEV Considering Cabin Heat Demand Under Low Temperature Based on Reinforcement Learning[J]. IEEE Transactions on Transportation Electrification, 2024.
Authors:  Li, Kai;  Chen, Hong;  Hou, Shengyan;  Eriksson, Lars;  Zhao, Jing; et al.
Favorite | TC[Scopus]:0  IF:7.2/7.9 | Submit date：2024/09/03
Batteries  Cabin Heat Demand  Deep Reinforcement Learning  Energy Management  Energy Management System  Fuel Economy  Heat Engines  Heat Pumps  Hybrid Electric Vehicles (Hevs)  Low Temperature Environment  Real-time  Resistance Heating  Waste Heat  
Real-time weighted multi-objective model predictive controller for adaptive cruise control systems Journal article
Zhao, R. C., Wong, Pak Kin, Xie, Z. C., Zhao, J.. Real-time weighted multi-objective model predictive controller for adaptive cruise control systems[J]. International of Automotive Technology, 2017, 18(2), 279-292.
Authors:  Zhao, R. C.;  Wong, Pak Kin;  Xie, Z. C.;  Zhao, J.
Favorite | TC[WOS]:65 TC[Scopus]:77  IF:1.5/1.6 | Submit date：2018/10/30
Adaptive Cruise Control  Model Predictive Control  Real-time Weight Tuning  Fuel Economy  Ride Comfort