M.N.A. Hawlader

Fuzzy controlled evaporative battery thermal management system for EV/HEV

Electrical car battery voltage changes significantly to meet the power demands while the car is in acceleration and at the time of momentary peak load. The peak load periods generate powerful electrical currents, causing significant warming of the Li-ion cells owing to internal resistance. At a battery operating temperature of 40°C and above, the battery life span is reduced. The rationale of this study is to develop an innovative evaporative battery cooling thermal management system (EC-BThMS) to control the battery temperature in the range of 20-40°C to increase the battery life span. The EC-BThMS is able to control the battery temperature in the range of 20-40°C both in charging and discharging mode. The experimental EC-BThMS has been constructed and compared with air cooling battery thermal management systems (AC-BThMS) by using Proton Saga EV. Result shows that that the EV with EC-BThMS can save 17.69% more energy than with AC-BThM1 and 23% more than with AC-BThMS2.

Nonlinear modeling and simulation of waste energy harvesting system for hybrid engine: Fuzzy logic approach

Fuel consumption could be cut significantly if waste heat energy of internal combustion engine (ICE) is harvested. Currently, ICEs lose their 42% of energy to exhaust and 28% of energy to the coolant. Several methods for waste thermal energy recovery from ICE have been studied by using supercharger or turbocharger or combined. This study presents the modeling and simulation of coolant based waste energy harvesting system (weHS). The supercharger compressed air gains heat during passing through the inner duct of the weHS while the coolant releases heat. The heated supercharged air is forced to the engine cylinders. The energy harvesting system performance is simulated by varying the supercharged air mass flow rate by keeping constant the coolant mass flow rate and vice versa. The waste energy recovery from the coolant by using weHS is simulated for the coolant flow rate of 2.0 kg/s, 2.5 kg/s, and 3.0 kg/s. The simulations result shows that the waste energies that could be recovered by using weHS are 30.9% ...

Hybrid engine powered city car: fuzzy controlled approach

This study describes a fuzzy controlled hybrid engine powered car. The car is powered by the lithium ion battery capacity of 1000 Wh is charged by the 50 cc hybrid engine and power regenerative mode. The engine is operated with lean mixture at 3000 rpm to charge the battery. The regenerative mode that connects with the engine generates electrical power of 500-600 W for the deceleration of car from 90 km/h to 20 km/h. The regenerated electrical power has been used to power the air-conditioning system and to meet the other electrical power. The battery power only used to propel the car. The regenerative power also found charging the battery for longer operation about 40 minutes and more. The design flexibility of this vehicle starts with whole-vehicle integration based on radical light weighting, drag reduction, and accessory efficiency. The energy efficient hybrid engine cut carbon dioxide (CO2) and nitrogen oxides (N2O) emission about 70-80% as the loads on the crankshaft such as cam-follower and its associated rotating components are replaced by electromagnetic systems, and the flywheel, alternator and starter motor are replaced by a motor generator. The vehicle was tested and found that it was able to travel 70 km/litre with the power of hybrid engine.