What is Flownex®?

Flownex is a 1-dimensional network simulation tool which enables engineers to quickly and accurately:

  • Model flow and heat transfer physics on component level
  • Evaluate different designs or configurations of systems and sub-systems
  • Automatically produce detailed results for easy reporting
  • Include detailed fluid models for 2-phase fluids as well as fluid mixtures

How Flownex® is used in Automotive applications?

Flownex® SE determines pressure drop [flow] and heat transfer [temperature] for the connected components of a complete system in steady state and transient. So Flownex can be used to study heat transfer and fluid transients in e.g. motor cooling systems, electronics cooling panels, pumps or compressors, pipes, valves, tanks and heat exchangers.


Flownex® simulation environment in Automotive

Traditional Internal Combustion Vehicles

Flownex is used for the thermal management.

  • Includes components to model the flow, heat transfer and control changes of thermal management systems for traditional automotive applications.
  • Includes air conditioning (vapour compression cycle) systems and components for air side and refrigeration side (phase change physics, component characteristics)
  • Available components: Pumps, heat exchangers, piping, valves, custom components such as the water block, control valve / thermostat

Thermal management

Electric Vehicles

The thermal management of electric vehicles becomes more complex, including evaluating control philosophy during different operating conditions. Flownex has a control system library to simulate system response to changes in the flow and heat transfer. It enables to simulate battery temperature changes as well as environmental changes and monitor how the system would react.

1. Battery cooling systems

  • Includes models for common components
  • Detailed geometry could be modelled with discrete components or a single characterised component
  • Option of co-simulation (more on last slide)

2. Fuel cell performance and system integration

  • Model Fuel Cell stack performance (Gibbs reactor component)
  • Gas composition
  • Combustion
  • Heat transfer and energy release

3. Air conditioning system

  • Simulation of the refrigerant flow through the hoses, radiator, pumps, etc.
  • Simulation of dynamic effects like start-up, show down or variations in demand and ambient conditions
  • Calculation of the pressure and temperature distribution through the system
  • Optimization studies of the system




Multiple choices possible