A novel deep reinforcement learning (DRL) control framework for the energy management
strategy of the series hybrid electric tracked vehicle (SHETV) is proposed in this paper …

A virtual power plant is a system that integrates different types of distributed energy
resources to achieve the rational and optimized allocation and utilization of resources. As …

This article proposes a predictive energy management strategy of plug-in hybrid electric
vehicles by real-time optimization and data-driven calibration. The powertrain modelling and …

In this paper, a full X-by-wire chassis coordinated control scheme is proposed by
synthetically utilizing the Direct Yaw-moment Control, Active Front Steering, Anti-Slip …

In this article, a heuristic deep reinforcement learning (DRL) control strategy is proposed for
the energy management of the series hybrid electric vehicle (SHEV). First, the powertrain …

Combining eco-driving optimization and simultaneous proper energy management, this
paper proposes an efficient co-optimization strategy of unmanned hybrid electric tracked …

Accuracy and speed of Lithium-ion battery state of charge (SOC) estimation determine the
reliability and stability of electric vehicle (EV), as well as promoting the development of smart …

A novel real-time predictive control strategy is proposed for path following (PF) and vehicle
stability of autonomous electric vehicles under extreme drive conditions. The investigated …

This article proposes a motion planning approach for autonomous electric vehicles to
generate an appropriate planned path according to the time-varying surrounding …

The establishment of a dynamic model of distributed driving unmanned ground vehicle
(DDUGV) is the premise of vehicle state identification and high-quality control. However, due …