Browse Topic: Auxiliary power units
India's electric 2-wheeler (E2W) market has witnessed fast growth, driven by lucrative government policies. The two-wheeler segment dominates the Indian automotive market, accounting for the largest share of total sales. Consequently, the manufacturers of 2-wheelers are developing new electric vehicles (EV) tailored for the Indian market. However, the Indian EV market has witnessed multiple fire accidents in recent years, raising safety concerns among consumers and industry stakeholders. These incidents highlight key weakness in battery thermal management systems (BTMS), particularly during charging. Most existing E2W BTMS relies on passive (natural) air cooling, which has been associated with fire incidents due to its inefficiency in heat dissipation, particularly during charging in India's high-temperature environment. Therefore, it is imperative to build thermally viable and economical BTMS for the growing E2W vehicles with fast charging capability. FEV is actively developing the thermally efficient and cost-effective BTMS solutions tailored for Indian E2Ws operating in extreme climatic conditions. The present study evaluates a novel approach of integrating heat carrier plates into the E2W with 3.6 kWh battery pack, which is analyzed under natural and forced air cooling system. The airtight battery pack is located under the floorboard region. The multiple internal heat carrier plates models are developed and integrated with aligned and staggered cell arrangement to evaluate heat dissipation and temperature uniformity with the battery pack. The study further proposes a concept of duct and fan placement for the application during forced air cooling. The simulations are performed at a high ambient temperature of 45 °C, representing a worst-case scenario in India, using charging rates of 0.2 C for natural cooling and 0.35 C for forced cooling. The results show that the aligned cell model with 4-heat carrier plates achieve superior temperature distribution across cells, with a lower average module temperature of 49.6 °C, minimal temperature gradient of 1.3°C and reduced maximum cell temperature of 50 °C, under natural cooling. In forced air-cooling mode, the split air duct model provides better cooling over the battery cover surfaces with maximum temperature of 55 °C with ΔT of 4°C. The study also presents comprehensive details of modelling approaches and outlines the scope of further research for developing thermally efficient BTMS for E2Ws.
This SAE Aerospace Recommended Practice (ARP) provides design guidelines for aircraft mechanical control systems and components. Topics contained in this document include design requirements, system design and installation guidelines, and component design practices for primary flight controls, secondary flight controls, and utility controls.
This SAE Aerospace Recommended Practice (ARP) provides a guide for the preparation of a helicopter engine/airframe interface document and checklist. This document and checklist should identify the information needed by the engine manufacturer and the aircraft manufacturer to integrate the engine design with the aircraft design and either provide this information or give reference to where this information is located. The intent is to assure that the engine manufacturer and the airframe manufacturer identify and make provision for this information so it can be easily accessible to either manufacturer as needed in the development stages of an engine-airframe integration project. A related document, SAE Aerospace Information Report AIR6181, provides guidance on creating an interface control document (ICD) which addresses a subset of the aircraft-engine interface information concerning the physical and functional interfaces of the electronic engine control system (EECS) with the aircraft systems. This would include signal interfaces, digital data busses and integrated functionality with the aircraft electronic systems and avionics displays. The engine/airframe interface document should reference this EECS ICD rather than duplicate its information. Similarly, as information is documented in the engine installation manual or engine installation drawings, the engine/airframe interface document should make references to the engine installation manual or engine installation drawings, rather than duplicate the information. Typically, the engine/airframe interface document will be the initial document in the project to capture the interface information which can then transition to referenced information as the engine installation manual, EECS ICD, and engine installation drawings are developed.
Suppose we have two identical variable-inertia flywheels and we connect them to the inputs of a differential. The output is connected to the driveline of a vehicle. There are several types of three-element mechanical differentials (e.g. ring-gear/carrier, epicyclic, etc.). The specific type of 3-element mechanical differential is inconsequential in the following analysis except to say there are two inputs (e.g. side gears) and one output (e.g. carrier/ring-gear). What’s important is simply the relationship - For example, using the notation ‘a’ for the first side gear and ‘b’ for the second side gear and ‘c’ for the carrier, then the relationship is: c=(a+b)/2. Understand that ‘a’, ‘b’, and ‘c’ can each be an input or an output. Using the designation ‘omega’ (ω) then the relationship looks like this: ωc=(ωa+ωb)/2. So, we have one variable inertia flywheel (VIFa) and a second variable inertia flywheel (VIFb) connected to two side gears, a and b, and a vehicle driveline connected to the differential carrier, c. For starters, we set the inertia of VIFa to its maximum inertia value, Iamx, and the inertia for VIFb to its minimum inertia value, Ibmn. Then we will spin up (with some auxiliary power source) VIFa to a minimum initial velocity (ωamn) and, in a reverse direction, VIFb to its maximum velocity (ωbmx). At this point, the ‘output’ to the vehicle driveline will be (ωamn-ωbmx)/2. But, at these initial conditions we need for the driveline angular velocity to equal zero. This can only be done by incorporating speed-changing gear set between the flywheels and the differential inputs. This gear set can change the speed of either VIFa or VIFb or both. Let’s apply the ratio (r=ωamn/ωbmx) equally to each differential input. Let’s put some numeric values to this system: ωamn=10; ωbmx=-30. If we want equal speed change for both flywheels as a percentage (i.e. equal ratio of change) then we can find the ratio (r) by taking the root: r=sqrt(ωbmx/ωamn)=1.732. Thus, the initial velocity of each VIF at the input to the differential is: ωadif=r*ωamn=17.32 while ωbdif=ωbmx/r=-17.32. What we have accomplished with these two gear sets applied to the differential inputs is that at the initial velocities for each VIF, the output of the differential is zero. The point of this is that when the vehicle is at a standstill, if we change the inertia setting of each flywheel, decreasing the inertia of VIFa (its inertia was initially at its maximum) while simultaneously increasing the inertia of VIFb (its initial inertia was set to its minimum value) we will cause the angular velocity of VIFa to increase (conserving momentum) while the negative angular velocity of VIFb will decrease (conserving momentum) and ,since VIFb is rotating in a reverse direction of VIFa, the torque produced by each flywheel as they change velocity will be in the same direction and applied to the differential output thus accelerating the vehicle.
As vehicles are getting electrified and more intelligent, the energy consumption of the auxiliary system increases rapidly. The auxiliary battery acts as the backbone of the system to support the proper operation of the vehicle. It is important to ensure the auxiliary battery has enough energy to meet the basic loads regardless the vehicle is in park or running. However, the existing methods only focus on auxiliary energy management when the vehicle is in a dynamic event. To fulfill the gap, we propose an intelligent strategy that detects the low state of charge (SOC) condition, temporarily turns down the auxiliary loads based on their priorities and charges the auxiliary battery at the maximum efficiency of the auxiliary power unit. In addition, the proposed strategy allows the vehicle to get the park duration update and make intelligent decisions on charging the auxiliary battery. Simulation results indicate that our strategy closes the technology gap that is not addressed by the existing methods. As a result, the energy consumption remains low while the SOC of the auxiliary battery is sustained.
This specification details requirements and procedures for the detection of defects in aircraft structural and engine components during maintenance and overhaul operations.
The port-logistic industry has a significant impact on the urban environment nearby ports and on the surrounding coastal areas. This is due to the use of large auxiliary power systems on ships operating during port stays, as well as to the employment of a number of fossil fuel powered road vehicles required for port operations. The environmental impact related to the use of these vehicles is twofold: on one hand, they contribute directly to port emissions by fuel consumption; on the other hand, they require some of the ship auxiliary systems to operate intensively, such as the ventilation system, which must operate to remove the pollutants produced by the vehicle engines inside the ship. The pathway to achieve decarbonization and mitigation of energy use in ports involves therefore the adoption of alternative and cleaner technology solutions for the propulsion systems of such port vehicles. This paper presents the performance analysis of a hydrogen powered cargo-handling vehicle for roll-on and roll-off port operations in a real case scenario. The fuel cell/battery hybrid powertrain of the vehicle has been previously designed by the authors. On the base of real data acquired during an on-field measurement campaign, and by means of a validated numerical model of the vehicle dynamics, different mission profiles are defined, in terms of driving and duty cycles, in order to represent typical port operations. A rule-based energy management strategy is then used to estimate the energy and hydrogen consumptions required by the vehicle and to assess its suitability to accomplish the defined target port operations. Outputs from this study show the potential of the proposed solution to take the place, in a foreseeable future, of conventional Diesel-engine vehicles, today commonly used in port logistics, towards a zero-emission scenario.
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