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AVL CRUISE™ 2019 R1

With a newly integrated Neutral SOC (State of Charge) method with equivalent factor, the assessment of HEV energy efficiency is easier than ever. When combined with a parallel simulation of variations the result is one of the fastest concept assessments. Additional gear-dependent workload spectrum clearly exposes the most critical durability conditions for individual gears leading to better lifetime designed components.



 

 

Neutral SOC - Equivalent Factor

 

In order to fairly assess the energy efficiency of different HEV powertrains the most common method is the Equivalent Consumption Minimization Strategy (ECMS). Here, a driving cycle-specific parameter called "equivalent factor" is applied to the HEV control unit. It is completely open to the user how the equivalent factor is used, with the aim to reach neutral battery SOC for a given driving cycle.

 

Equivalent factor iterations to find the neutral SOC over given driving cycle


 

The latest CRUISE™ release features this functionality by iterating the equivalent factor value within a user-defined range to find the neutral SOC value until reaching the given SOC tolerance. The user can choose between "Bisection" and "Regula Falsi" algorithm.

The solution plausibility check is performed at the beginning and can result in equivalent factor range discretization in an attempt to find a solution. If the solution is not found within the given number of discretization and iterations, the user is informed accordingly.
 

 

Workload Analysis Tool - Gear Dependent Results


This CRUISE™ release features extended Workload Analysis Tool (WAT) results for Gear Box (GB) and Double Clutch Transmission (DCT) components. In addition to the accumulated WAT results, now the individual gears results are separately available within the same overall range scale.
 

New time distribution for individual gears


 

This enables an easy visual comparison of operating conditions and workload distribution between individual gears represented within speed-torque diagrams. For further assessment from the durability aspect, all results can be exported nicely arranged in a table with all individual gear ratios.
 

 

Parallel Simulation


When running variation simulations, it is now possible to generate the results faster by using more kernels in parallel. The new parallel simulation option submits variation cases to different CPU cores. The number of cores depends on the available hardware.
 

Number of parallel cores selection in parameter variation