Search Results

If you’re working to balance the implementation of today’s urban ground mobility (UGM) vehicles with tomorrow’s biggest challenges and opportunities, then you belong at the premier of SAE’s Urban Ground Mobility Digital Summit.

If you’re working to balance the implementation of today’s urban ground mobility (UGM) vehicles with tomorrow’s biggest challenges and opportunities, then you belong at the premier of SAE’s Urban Ground Mobility Digital Summit.

Request Information about exhibiting and sponsoring at the Urban Ground Mobility Digital Summit.

If you’re working to balance the implementation of today’s urban ground mobility (UGM) vehicles with tomorrow’s biggest challenges and opportunities, then you belong at the premier of SAE’s Urban Ground Mobility Digital Summit.

Explore the exhibit and sponsor opportunities at the Urban Ground Mobility Digital Summit.

If you’re working to balance the implementation of today’s urban ground mobility (UGM) vehicles with tomorrow’s biggest challenges and opportunities, then you belong at the premier of SAE’s Urban Ground Mobility Digital Summit.

If you’re working to balance the implementation of today’s urban ground mobility (UGM) vehicles with tomorrow’s biggest challenges and opportunities, then you belong at the premier of SAE’s Urban Ground Mobility Digital Summit.

. A brand-new and FREE networking event for ground mobility executives, startups and tech companies, UGM brings together leaders in development, software, design, quality assurance and urban planning for a productive and powerful summit that solves challenges — and secures long-term strategies for success in urban ground mobility.

A FREE networking event for ground mobility executives, startups and tech companies, UGM brings together leaders in development, software, design, quality assurance and urban planning for a productive and powerful summit that solves challenges — and secures long-term strategies for success in urban ground mobility.

If you’re working to balance the implementation of today’s urban ground mobility (UGM) vehicles with tomorrow’s biggest challenges and opportunities, then you belong at the premier of SAE’s Urban Ground Mobility Digital Summit.

10BASE-T1S (10Mbps) Single Pair Ethernet cable for shared bus network application in automotive vehicles.

Reaffirm

This SAE Standard covers low voltage battery cable intended for use at a nominal system voltage of 60 VDC (25 VAC) or less in surface vehicle electrical systems. The tests are intended to qualify cables for normal applications with limited exposure to fluids and physical abuse.

This SAE Standard covers low voltage primary cable intended for use at a nominal system voltage of 60 VDC (25 VAC) or less in surface vehicle electrical systems. The tests are intended to qualify cables for normal applications with limited exposure to fluids and physical abuse.

When designing an electric vehicle (EV) traction system, overcoming the issues arising from the variations in the battery voltage due to the state of charge (SoC) is critical, which otherwise can lead to a deterioration of the powertrain energy efficiency and overall drive performance. However, systems are typically documented under fixed voltage and temperature conditions, potentially lacking comprehensive specifications that account for these variations across the entire range of the vehicle operating regions. To tackle this challenge, this paper seeks to adjust an optimal DC-link voltage across the complete range of drive operating conditions by integrating a DC-DC converter into the powertrain, thereby enhancing powertrain efficiency. This involves conducting a comprehensive analysis of power losses in the power electronics of a connected converter-inverter system considering the temperature variations, along with machine losses, accounting for variable DC-link voltages.

Battery terminal voltage modelling is crucial for various applications, including electric vehicles, renewable energy systems, and portable electronics. Terminal voltage models are used to determine how a battery will respond under load and can be used to calculate run-time, power capability, and heat generation and as a component of state estimation approaches, such as for state of charge. Previous studies have shown better voltage modelling accuracy for long short-term memory (LSTM) recurrent neural networks than other traditional methods (e.g., equivalent circuit and electrochemical models). This study presents two new approaches – sequence training and data shuffling – to improve LSTM battery voltage models further, making them an even better candidate for the high-accuracy modelling of lithium-ion batteries. Because the LSTM memory captures information from past time steps, it must typically be trained using one series of continuous data.

Battery packs of electric vehicles are typically composed of lithium-ion batteries with aluminum and copper acting as cell terminals. These terminals are joined together in series by means of connector tabs to produce sufficient power and energy output. Such critical electrical and structural cell terminal connections involve several challenges when joining thin, highly reflective and dissimilar materials with widely differing thermo-mechanical properties. This may involve potential deformation during the joining process and the formation of brittle intermetallic compounds that reduce conductivity and deteriorate mechanical properties. Among various joining techniques, laser welding has demonstrated significant advantages, including the capability to produce joints with low electrical contact resistance and high mechanical strength, along with high precision required for delicate materials like aluminum and copper.

The use of electrical contacts in aerospace applications is crucial, particularly in connectors that transmit signal and power. Crimping is a widely preferred method for joining electrical contacts, as it provides a durable connection and can be easily formed. This process involves applying mechanical load to the contact, inducing permanent deformation in the barrel and wire to create a reliable joint with sufficient wire retention force. This study utilizes commercially available Abaqus software to simulate the crimping process using an explicit solver. The methodology developed for this study correlates FEA and testing for critical quality parameters such as structural integrity, mechanical strength, and joint filling percentage. A four-indenter crimping tool CAD model is utilized to form the permanent joint at the barrel-wire contact interfaces, with displacement boundary conditions applied to the jaws of the tool in accordance with MIL-C-22520/1C standard.

Magnesium alloy, known for its high strength and lightweight properties, finds widespread utilization in various technical applications. Aerospace applications, such as fuselages and steering columns, are well-suited for their utilization. These materials are frequently employed in automotive components, such as steering wheels and fuel tank lids, due to their notable corrosion resistance. The performance of magnesium alloy components remains unimproved by normal manufacturing methods due to the inherent characteristics of the material. This work introduces a contemporary approach to fabricating complex geometries through the utilization of Wire-Electro Discharge Machining (WEDM). The material utilized in this study was magnesium alloy. The investigation also considered the input parameters associated with the Wire Electrical Discharge Machining (WEDM) process, specifically the pulse duration and peak current.

One of the most common types of lightweight materials used in aerospace is magnesium alloy. It has a high strength-to-weight ratio and is ideal for various applications. Due to its corrosion resistance, it is commonly used to manufacture of fuselages. Unfortunately, the conventional methods of metal cutting fail to improve the performance of magnesium alloy. One amongst the most common methods used for making intricate shapes in harder materials is through Wire-Electro-Discharge (WEDM). In this study, we have used magnesium alloy as the work material. The independent factors were selected as pulse duration and peak current. The output parameters of the process are the Surface Roughness (SR) and the Material Removal Rate (MRR). Through a single aspect optimization technique, Taguchi was able to identify the optimal combination that would improve the effectiveness of the WEDM process.