Recent Progress in Energy Management of Connected Hybrid Electric Vehicles Using Reinforcement Learning

no code implementations • 28 Aug 2023 • Min Hua, Bin Shuai, Quan Zhou, Jinhai Wang, Yinglong He, Hongming Xu

The evolution of EMS from HEVs to connected hybrid electric vehicles (CHEVs) represent a pivotal shift.

energy management Management +3

Energy Management of Multi-mode Plug-in Hybrid Electric Vehicle using Multi-agent Deep Reinforcement Learning

no code implementations • 16 Mar 2023 • Min Hua, Cetengfei Zhang, Fanggang Zhang, Zhi Li, Xiaoli Yu, Hongming Xu, Quan Zhou

The recently emerging multi-mode plug-in hybrid electric vehicle (PHEV) technology is one of the pathways making contributions to decarbonization, and its energy management requires multiple-input and multipleoutput (MIMO) control.

energy management Management

Planning and Tracking Control of Full Drive-by-Wire Electric Vehicles in Unstructured Scenario

no code implementations • 7 Jan 2023 • Guoying Chen, Min Hua, Wei Liu, Jinhai Wang, Shunhui Song, Changsheng Liu

Full drive-by-wire electric vehicles (FDWEV) with X-by-wire technology can achieve independent driving, braking, and steering of each wheel, providing a good application platform for autonomous driving technology.

Autonomous Driving Model Predictive Control

Energy Management of Multi-mode Hybrid Electric Vehicles based on Hand-shaking Multi-agent Learning

no code implementations • 6 Sep 2022 • Min Hua, Zhi Li, Quan Zhou

The study suggested that the MADRL with an independence ratio of 0. 2 is the best, and more than 2. 4% of energy can be saved over the conventional DRL framework.

energy management Management +2