On-board diagnosis of engine and transmission systems has been mandated by government regulation for light and medium vehicles since the 1996 model year. The regulations specify many of the detailed features that on-board diagnostics must exhibit. In addition, the penalties for not meeting the requirements or providing in-field remedies can be very expensive. This course is designed to provide a fundamental understanding of how and why OBD systems function and the technical features that a diagnostic should have in order to ensure compliant and successful implementation.
Electric aircraft have emerged as a promising solution for sustainable aviation, aiming to reduce greenhouse gas emissions and noise pollution. Efficiently estimating and optimizing energy consumption in these aircraft is crucial for enhancing their design, operation, and overall performance. This paper presents a novel framework for analyzing and modeling energy consumption patterns in lightweight electric aircraft. A mathematical model is developed, encompassing key factors such as aircraft weight, velocity, wing area, air density, coefficient of drag, and battery efficiency. This model estimates the total energy consumption during steady-level flight, considering the power requirements for propulsion, electrical systems, and auxiliary loads. The model serves as the foundation for analyzing energy consumption patterns and optimizing the performance of lightweight electric aircraft.
This course is designed to provide an overview of the fundamental design objectives and the features needed to achieve those objectives for generic on-board diagnostics. The basic structure of an on-board diagnostic will be described along with the system definitions needed for successful implementation.
The proliferation of electric vehicles (EVs) is making big transition in the automotive industry, promising reduced greenhouse gas emissions and improved energy efficiency. The architectural configurations and power distribution strategies necessitate the optimization of their drivability performance, all-electric ranges, and overall efficiency. This paper reports the efforts of the University of California at Riverside (UCR) EcoCAR team in EV architecture selection to match the EcoCAR EV Challenge theme of shared mobility for disadvantaged communities. The UCR EcoCAR team conducted a comprehensive analysis of various EV architectures (including rear-wheel drive, front-wheel drive, and all-wheel drive) and motor parameters, considering a spectrum of targeted vehicle technology specifications such as acceleration and braking performance, fuel economy, and cargo/passenger capacity.
This paper presents optimal control co-design of a parallel electric-hydraulic hybrid powertrain, to be specific, for heavy-duty vehicles. A pure electric powertrain that consists of a rechargeable lithium-ion battery, a high-efficient electric motor, and a single or double-speed gearbox has drawn a keen interest in the automotive sector because of a growing demand for clean and efficient mobility. However, the state-of-the-art has shown limited capability and has not been able to meet the design requirements for heavy-duty vehicles of high-power demand such as a class 8 semi-trailer truck in terms of a driving range on one battery charge, battery charging time, and load-carrying capacity primarily due to the low power density of lithium-ion batteries and low energy conversion efficiency of electric motors at low speed.
Recently, as part of the purpose of improving fuel efficiency and cost reduction of eco-friendly vehicles, the R-gearless system has been applied in TMED (P)HEV system It is necessary to develop a separate backward driving method as the reverse gear is removed, so backward driving can be enabled by using the e-Motor system in TMED (P)HEV system. However, backward driving with e-Motor is limited as partial failure of high-voltage system in R-gearless system Here we show that, it is possible to improve the backward driving problems by applying new fail-safe strategy. In the event of a high voltage battery system failure, the backward driving is available by using e-Motor with constant voltage control by HSG as we proposed in this paper. So feed-forward compensation of variable constant voltage control enables to secure more active output power within limited HSG output power.