Determination of Battery Capacity and Type in Electric Wheel Loader Machines Considering Variable Operating Conditions

Abstract

In recent years, the development and production of fully electric battery vehicles have become increasingly common in the construction equipment sector. Conventional construction machines with diesel internal combustion engines are losing popularity in city centers with high human density due to the harmful gases and high noise levels emitted into the environment. In some developed countries, the use of conventional machines has already been prohibited in some areas, and it is reflected in the media that other administrations have been concentrating on similar activities. In addition to easy access to charging stations in city centers, charging systems that can provide high power, especially in construction sites where machines operate, and charging the machines within a particular area makes charging more practical than passenger vehicles. The machines have multiple consumers, such as the powertrain and hydraulic systems, and have various operating conditions. Therefore, the power demand and energy consumption should be definite correctly. The requirement analysis for the battery package of the fully electric wheel loader has been made according to various operating scenarios, and the capacity of the battery package is investigated. Different battery types are compared, and their pros and cons are explained. Several field tests, measurements, and engineering calculations have provided data. The overall schematic plan of the fully electric machine has been created, and technical details have been explained.

Keywords

• : Battery electric wheel loader
• Battery requirement analysis
• Battery types
• Energy requirement analysis
• Electrification of construction machinery.

References

1. Karahan, M. (2024). Determination of battery capacity and type in electric wheel loader machines considering variable operating conditions. The Eurasia Proceedings of Science, Technology, Engineering & Mathematics (EPSTEM), 31, 24-30.