To address the urgent environmental challenges of transportation related air pollution and
energy shortage, hybrid electric vehicles (HEV) and battery electric vehicles (BEV) with …

Engine calibration is a process of optimizing engine settings so that optimal engine
performance, like minimum fuel consumption, minimum pollutant gas emissions, maximum …

The performance and the exhaust emissions of a diesel engine operating on nano-diesel-
biodiesel blended fuels has been investigated. Multi wall carbon nano tubes (CNT)(40, 80 …

A numerical optimization model is developed to simulate the performance of a large four-
stroke marine turbocharged diesel engine along the entire operating range by finding the …

Meta-heuristic algorithms are often inspired by natural phenomena, including the evolution
of species in Darwinian natural selection theory, ant behaviors in biology, flock behaviors of …

An Atkinson cycle engine with geometrical compression ratio (GCR) of 12.5 has been
designed by maximizing fuel economy at full load operating conditions based on the …

Transportation is the leading source of logistics, and people contribute the significant
primary emissions for increasing global warming, so we should avoid such a situation and …

ANN (artificial neural network) modeling is adopted along GA (genetic algorithm)
optimization method in order to investigate spray behavior as function of nozzle and engine …

The organic Rankine cycle (ORC) is regarded as one of the most promising methods to
increase the efficiency of diesel engines. Owing to the variability of exhaust energy with …

The primary issues for the popularization of electric vehicles are low energy density, short
life, high cost, and long charging time of battery. In an extended-range electric vehicle, a …