8 research outputs found
Optimal design of a hydro-mechanical transmission power split hybrid hydraulic bus
No full textUniversity of Minnesota Ph.D. dissertation. December 2013. Major: Mechanical Engineering. Advisor: Kim A. Stelson. 1 computer file (PDF); xi, 88 pages, appendices p. 79-88.This research finds the optimal power-split drive train for hybrid hydraulic city bus. The research approaches the optimization problem by studying the characteristics of possible configurations offered by the power-split architecture. The critical speed ratio (S_crit) is introduced in this research to represent power-split configurations and consequently simplifies the optimal configuration search process. This methodology allows the research to find the optimal configurations among the more complicated dual-staged power-split architecture. The search for optimal single-staged and dual-staged power-split configurations is done by tuning the S_crit values until the optimal configuration is reached. The configuration candidates are simulated over three city bus drive cycles and to ensure they operate at optimal condition at each drive cycle, a dynamic programming is used. This study also establishes that there are two kinds of power re-circulation modes and one of them has a usable range with better efficiency than the series hybrid hydraulic architecture. A configuration candidate from single-staged power-split architecture is chosen to be the optimal drive train. The ( S_crit value of the optimal configuration is used to determine how all the gears in the optimal power-split HHB drive train are connected and the planetary gear ratio so that the physical drive train can be built.Ramdan, Muhammad Iftishah. (2013). Optimal design of a hydro-mechanical transmission power split hybrid hydraulic bus. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/162514
Perodua Myvi engine fuel consumption map and fuel economy vehicle simulation on the drive cycles based on Malaysian roads
No full textThis paper presents the fuel consumption engine map for a 1.3L Perodua Myvi passenger car. The engine dynamometer and the engine throttle are controlled, to create the operating conditions for the engine map. Interpolation work is done in MATLAB, to create a 3D fuel consumption engine map. The engine map is used in a fuel-economy estimation simulation, using the city and the highway drive cycles based on Malaysian roads. The fuel economy values generated from the simulations are similar to experimental fuel consumption results
Perodua Myvi parallel hybrid hydraulic passenger vehicle fuel economy simulation on Malaysia drive cycle, using rule-based control strategy
No full textExperimental study of cooling performance of pneumatic synthetic jet with singular slot rectangular orifice
No full textOptimising the Performance of 110cc Engines for Fuel-Efficient Vehicle Design in the Shell Eco-Marathon
No full textThe Shell Eco-Marathon (SEM) is an internationally recognised competition that inspires higher education students to develop innovative, fuel-efficient vehicle designs, emphasising sustainability and engineering excellence. A major challenge in this endeavour lies in optimising engine performance, particularly for small-capacity engines such as the 110cc, which require precise tuning to achieve superior thermal efficiency and minimal fuel consumption. This study addresses this challenge by developing detailed brake-specific fuel consumption (BSFC) and brake thermal efficiency maps through dynamometer testing of a 110cc engine. The results demonstrated a maximum torque of 7.31 Nm at 5500 RPM, a peak brake power of 5.33 kW at 7500 RPM, and optimal operating conditions at 5000 RPM with a load of 5.42 Nm, achieving a minimum BSFC of 347.3 g/kWh and a maximum thermal efficiency of 23.87%. These findings provide practical insights into the engine’s most efficient operating range, enabling the design of optimised drivetrains that enhance vehicle performance and reduce energy consumption. By harnessing these insights, SEM participants can contribute to advancing sustainable engineering solutions while achieving competitive excellence
QuickNav: An Effective Collision Avoidance and Path-Planning Algorithm for UAS
No full textObstacle avoidance is a desirable capability for Unmanned Aerial Systems (UASs)/drones which prevents crashes and reduces pilot fatigue, particularly when operating in the Beyond Visual Line of Sight (BVLOS). In this paper, we present QuickNav, a solution for obstacle detection and avoidance designed to function as a pre-planned onboard navigation system for UAS flying in a known obstacle-cluttered environment. Our method uses a geometrical approach and a predefined safe perimeter (square area) based on Euclidean Geometry for the estimation of intercepting points, as a simple and efficient way to detect obstacles. The square region is treated as the restricted zone that the UAS must avoid entering, therefore providing a perimeter for manoeuvring and arriving at the next waypoints. The proposed algorithm is developed in a MATLAB environment and can be easily translated into other programming languages. The proposed algorithm is tested in scenarios with increasing levels of complexity, demonstrating that the QuickNav algorithm is able to successfully and efficiently generate a series of avoiding waypoints. Furthermore, QuickNav produces shorter distances as compared to those of the brute force method and is able to solve difficult obstacle avoidance problems in fractions of the time and distance required by the other methods. QuickNav can be used to improve the safety and efficiency of UAV missions and can be applied to the deployment of UAVs for surveillance, search and rescue, and delivery operations
