Search Results

The paper presents a thermal management development capability and approach that was put in place to understand the relative benefit of various thermal components, layouts and control strategies. The use of the approach on a modern diesel powered vehicle is given. Thermal performance along with associated fuel economy improvements are shown over various test cycles including the FTP and US06. Results are given for a GT-Suite simulation as well as on vehicle.

The paper presents the results of applying an advanced thermal management approach to a light duty commercial vehicle. The relative benefit of various thermal components, layouts and control strategies is discussed. Thermal performance along with associated fuel economy improvements are shown over various test cycles including the FTP, NEDC and US06. Results are given for a GT-Suite simulation as well as on vehicle.

A GT-suite commercial code was used to develop a fully integrated model of a light duty commercial vehicle with a V6 diesel engine, to study the use of a BorgWarner dual mode coolant pump (DMCP) in active thermal management of the vehicle. An Urban Dynamometer Driving Schedule (UDDS) was used to validate the simulation results with the experimental data. The conventional mechanical pump from the validated model was then replaced with the dual mode coolant pump. The control algorithm for the pump was based on controlling the coolant temperature with pump speed. Maximum electrical speed of the pump and the efficiency of the pump were used to determine whether the pump should run in mechanical or electrical mode. The model with the dual mode coolant pump was simulated for the UDDS cycle to demonstrate the effectiveness of control strategy.

There are many methods developed over the past decade to solve the problem of energy management control for hybrid electric vehicles. A novel method is introduced in this paper to address the same problem which reduces the problem to a set of physical equations and maps. In simple terms, this method directly calculates the actual cost or savings in fuel energy from the generation or usage of electric energy. It also calculates the local optimum electric power that yields higher electric fuel savings (EFS) or lower electric fuel cost (EFC) in the fuel energy that is spent for driving the vehicle (which in general does not take the system to the lowest engine Brake Specific Fuel Consumption (BSFC)). Based on this approach, a control algorithm is developed which attempts to approach the global optimum over a drive cycle.