Browse Topic: Connectors and terminals

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AS5653 may be applied to Air Vehicles and Stores implementing MIL-STD-1760 Interface Standard for Aircraft/Store Electrical Interconnection System.
AS-1A Avionic Networks Committee
This SAE Aerospace Standard (AS) contains requirements for a digital time division command/response multiplex data bus, for use in systems integration that is functionally similar to MIL-STD-1553B with Notice 2 but with a star topology and some deleted functionality. Even with the use of this document, differences may exist between multiplex data buses in different system applications due to particular application requirements and the options allowed in this document. The system designer must recognize this fact and design the multiplex bus controller (BC) hardware and software to accommodate such differences. These designer selected options must exist to allow the necessary flexibility in the design of specific multiplex systems in order to provide for the control mechanism, architectural redundancy, degradation concept, and traffic patterns peculiar to the specific application requirements.
AS-1A Avionic Networks Committee
This document was prepared by the SAE AS-1A2 Committee to establish techniques for verifying that Network Controllers (NCs), Network Terminals (NTs), switches, cables, and connectors comply with the physical layer requirements specified in AS5653B. Note that this verification document only verifies the specific requirements from AS5653B and does not verify all of the requirements invoked by documents that are referenced by AS5653B. The procuring authority may require further testing to verify the requirements not explicitly defined in AS5653B and in this verification document.
AS-1A Avionic Networks Committee
This document covers the dimensional definition of the SAE J3400 (NACS) electric vehicle coupler, which includes the connector and inlet.
Hybrid - EV Committee
This study presents a comparative analysis of Samsung lithium-ion batteries, which are the INR21700 30T high-power (HP) cell and INR21700 50E high-energy (HE) cell, examining their design differences and performance characteristics. Based on teardown data reported in literature, the HP cell features higher porosity, thicker current collectors, and thinner electrode coatings compared to the HE cell, while the HE cell incorporates approximately 6% silicon oxide in its graphite anode for increased energy density. Cell-level characterization test results demonstrated superior rate capability of the HP cell, maintaining 93.8% of its capacity at 2C discharge, while the HE cell retained 93.4% at 1.6C. The HP cell also exhibited better cycle life stability due to its silicon-free design. Pseudo-two-dimensional (P2D) models were constructed using both teardown experimental parameters and adjusted parameters. Simulation results revealed significant discrepancies using teardown parameters
Yao, QiKollmeyer, PhillipChen, JunranPanchal, SatyamGross, OliverEmadi, Ali
Electric vehicle (EV) growth may be stagnant in certain market sectors amid pushback on EV mandates along with lingering infrastructure and TCO concerns, but in terminal tractor operations electrification is growing in demand. As part of its initial Run on Less - Electric demonstration, the North American Council for Freight Efficiency (NACFE) concluded that terminal tractors are “one of the best, if not the best, paths for heavy-duty tractor fleets to learn about and implement a BEV in a fleet operation.” Fleets operating in ports, intermodal yards and other logistics hubs have a new option from which to choose now that Kalmar officially began sales of its Ottawa T2 EV electric terminal tractor. The order book opened at the Technology & Maintenance Council's (TMC) 2025 Transportation Technology Exhibition in Nashville, Tennessee, in March. Kalmar states that select customers have already placed preorders. Initial deliveries will begin in Q2 2025.
Gehm, Ryan
In the pursuit of enhancing the reliability of battery health management methods, accurate estimation of state of charge (SOC) and state of health (SOH) remains a critical challenge. This article presents a novel fusion estimation algorithm, combining a dual extended Kalman filter (EKF) with a particle filter (PF), based on a fractional-order 2-RC battery model (FOEKPF–EKF). The 2-RC fractional-order model (FOM) is first implemented to accurately depict the battery’s discharge behavior, outperforming traditional integer-order models (IOM) due to its ability to capture the cell’s intrinsic diffusion and dispersion characteristics. An adaptive genetic algorithm (AGA) is then employed for optimal parameter identification of the FOM, ensuring precise modeling. Following this, the FOEKPF–EKF algorithm is developed, leveraging the strengths of FOM, EKF, and PF to effectively handle uncertain, time-varying noise, thereby improving SOC estimation accuracy. The reliability of the proposed
Wang, KeMo, JianLi, DanZhou, YingYuan, Zhangyong
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