Vehicle technology advances and the world shifts towards E‐mobility, improving the
performance of electric vehicles (EVs) and HEVs, which are becoming the prominent focus …

This paper provides a comprehensive review of machine learning strategies and
optimization formulations employed in energy management systems (EMS) tailored for plug …

The adoption of electric vehicles promises numerous benefits for modern society. At the
same time, there remain significant hurdles to their wide distribution, primarily related to …

Regenerative braking technology is a viable solution for mitigating the energy consumption
of electric vehicles. Constructing a distribution strategy for regenerative braking force will …

In many industries, such as assembling, welding, packaging, quality control, loading, and
wrap**, a specific operation is requested, which is to pick processed objects in a given …

The dynamic development of the automotive market entails the need to understand its
characteristics. The purpose of this publication is to indicate the changes in the automotive …

This survey study analyzes the driving and braking control logic algorithms in electric
vehicles (EVs) to enhance energy efficiency and speed control. It explores their applications …

This research investigates the feasibility of using smartphones as reliable instruments to
measure vehicle deceleration under different conditions and compares their accuracy and …

This paper focuses on validating a model-free Value Iteration Reinforcement Learning (MFVI-
RL) control solution on a visual servo tracking system in a comprehensive manner starting …

One of the bottlenecks of autonomous systems is to identify and/or design models and tools
that are not too resource demanding. This paper presents the concept and design process of …