Continual refoircement learning using real-world data for intelligent pbkp_rediction of SOC consumption in electric vehicles

Abstract:

The accelerated migration towards electric vehicles (EV) presents several problems to solve. The main aspect is the management and pbkp_rediction of the state of charge (SOC) in real long-range routes of different variations in altitude for a more efficient energy consumption and vehicle recharge plan. This paper presents the implementation of a new algorithm for SOC estimation based on continuous learning and meta-experience replay (MER) with reservoir sample. It combines the reptile meta-learning algorithm with the experience replay technique for stabilizing the reinforcement learning. The proposed algorithm considers several important factors for the pbkp_rediction of the SOC in EV such as: speed, travel time, route altimetry, consumed battery capacity, regenerated battery capacity. A modified principal components analysis is used to reduce the dimensionality of the route altimetry data. The experimental results …

Año de publicación:

2022

Keywords:

Fuente:

google