Yuanzhi Zhang

Real-Time Energy Management Strategy for Fuel Cell Range Extender Vehicles Based on Nonlinear Control

Liangfei Xu, Zhitao Liu, Caizhi Zhang, 2019, IEEE Transactions on Transportation Electrification.

Genetic algorithm-based fuzzy optimization of energy management strategy for fuel cell vehicles considering driving cycles recognition

Fengyan Yi, Donghai Hu, Jiaming Zhou, 2022, Energy.

Improved Short-Term Speed Prediction Using Spatiotemporal-Vision-Based Deep Neural Network for Intelligent Fuel Cell Vehicles

Chen Lv, Dong Hao, Zhiyu Huang, 2021, IEEE Transactions on Industrial Informatics.

Real-Time Optimization of Energy Management Strategy for Fuel Cell Vehicles Using Inflated 3D Inception Long Short-Term Memory Network-Based Speed Prediction

Chen Lv, Chen Liang, Zhiyu Huang, 2021, IEEE Transactions on Vehicular Technology.

Twin delayed deep deterministic policy gradient-based deep reinforcement learning for energy management of fuel cell vehicle integrating durability information of powertrain

Ruijia Fan, Q. Xu, Shulong Huang, 2022, Energy Conversion and Management.

Ride Comfort Optimization of In-Wheel-Motor Electric Vehicles with In-Wheel Vibration Absorbers

Feihong Gu, Yuanzhi Zhang, Liu Mingchun, 2017 .

Energy management strategy for fuel cell vehicles via soft actor-critic-based deep reinforcement learning considering powertrain thermal and durability characteristics

H. Chaoui, Ruijia Fan, Yuanzhi Zhang, 2023, Energy Conversion and Management.