With the explosion in the field of Big Data and introduction of more stringent emission norms every three to five years, automotive companies must not only continue to enhance the fuel economy ratings of their products, but also provide valued services to their customers such as delivering engine performance and health reports at regular intervals. A reasonable solution to both issues is instal...

This paper proposes a feed-forward control model for SWB6105 parallel hybrid electric urban bus (PHEUB) by using Matlab/Simulink. In order to optimize the fuel economy, balance the battery state of charge (SOC), and satisfy the requirements of the vehicle performance and drivability as well, a logic threshold torque distribution control strategy (LTTDCS) incorporating with an instantaneous opti...

Diesel engines due to the better fuel economy have been widely used in automotive area. However, the limited reserve of fossil fuel and deteriorating environment have made scien‐ tists seek to alternative fuels for diesel while keeping the high efficiency of diesel engine. Fuel consumption is expected to increase from 86 million barrels per day to 112 million bar‐ rels per day by 2035 according...

In this study, driving data for various types of drivers are collected using a VIDE (virtual integrated driving environment), and a driver model is developed. To represent the driver tendencies quantitatively, the DDA (degree of driver aggression) is proposed based on fuzzy logic. DDA has a 0-1 value; the closer the DDA is to one, the more aggressive the driver. Using the DDA, an engine on/off ...

This paper presents a comprehensive analysis for configurations of hybrid electric vehicles with a single planetary gearset and multiple operation modes. The multiple modes are enabled by clutches so that powertrain components can be connected or disconnected from the transmission when necessary. All possible configurations and their possible operating modes are studied systematically. An autom...

To further improve the fuel economy of series hybrid electric tracked vehicles, a reinforcement learning (RL)-based real-time energy management strategy is developed in this paper. In order to utilize the statistical characteristics of online driving schedule effectively, a recursive algorithm for the transition probability matrix (TPM) of power-request is derived. The reinforcement learning (R...

(2013): Economy-oriented vehicle adaptive cruise control with coordinating multiple objectives function, Vehicle System This article may be used for research, teaching, and private study purposes. Any substantial or systematic reproduction, redistribution, reselling, loan, sub-licensing, systematic supply, or distribution in any form to anyone is expressly forbidden. The publisher does not give...

Air-to-fuel (A/F) ratio is the mass ratio of the air-to-fuel mixture trapped inside a cylinder before combustion begins, and it affects engine emissions, fuel economy, and other performances. Using an A/F ratio and dualfuel ratio control oriented engine model, a multi-inputmulti-output (MIMO) sliding mode control scheme is used to simultaneously control the mass flow rate of both port fuel inje...