electric vehicle

Energy-efficient Control of Electric Vehicle Heating, Ventilation, and Air Conditioning System – Performance Optimization and Energy Consumption Reduction

The article addresses the challenge of improving the energy efficiency of the heating, ventilation, and air conditioning (HVAC) system in electric vehicles. Due to the absence of an internal combustion engine in electric vehicles, there is no additional heat source, meaning that HVAC systems consume a significant portion of the battery energy, thereby reducing the vehicle’s range. The aim of this study is to develop an energy-efficient control algorithm for the HVAC system that minimizes energy consumption while maintaining adequate comfort levels for passengers.

Synthesis and Analysis of Energy-Shaping Control Systems for Electric Vehicle Energy Traction Systems Based on Bldc Motor

Electromobility is rapidly advancing in modern society, driven by continuous development in energy storage systems, innovations in the design of highly efficient electric motors, and advancements in power electronics. This progress addresses numerous challenges for researchers while introducing new opportunities for further studies, particularly in shaping the dynamic and static characteristics of electric vehicle motors and optimizing control systems.

Prediction of Electric Vehicle Mileage According to Optimal Energy Consumption Criterion

In the field of electric vehicle usage, an inherent challenge lies in the restricted mileage capacity prior to requiring a recharge, hindering broader acceptance of electric vehicles. To alleviate this concern, enhancing the comprehension of vehicle energy consumption and range plays a pivotal role in easing the anxieties of electric vehicle drivers. Within this context, a novel model-based predictive approach is introduced for estimating electric vehicle energy consumption. This method considers the vehicle's specific parameters, the road network's topology, and actual traffic conditions.

Modeling of Two-Motor Front-Wheel Drive Control for Electric Vehicle with Electronic Differential Based on Energetic Macroscopic Representation

Unlike a car, a modern electric vehicle (EV) can have different configurations of the electrical traction subsystem using one, two or four drive-wheel electric motors. This paper investigates a two-motor front-wheel drive configuration, in which the control of the electromagnetic torques of the motors provides two functions: electric traction and direction control. The latter function performs an electronic differential, which is used in place of the traditional mechanical differential transmission and mechanical steering system.

Application of a Fuzzy Particle Filter to Observe a Dynamical System States in Real Time

One of the key problems in the implementation of closed-loop control systems is to measure all states of a dynamic system, especially, when there are severe environmental conditions. Consequently, the use of certain types of sensors is impossible for technical or economic reasons. Also, in electromechanical systems, there are a lot of values that cannot be directly measured by physical sensors. Thus, mathematical algorithms named as observers and estimators are in use to calculate the states of the dynamic system utilizing math model and available set of sensors.