FASTSim

Description

This is the python/rust flavor of NREL's FASTSim^TM, which is based on the original Excel implementation. Effort will be made to keep the core methodology between this software and the Excel flavor in line with one another.

All classes and methods are self-documented.

Installation

Python

Set up and activate a python environment (compatible with Python 3.8 - 3.10; we recommend Python 3.10) with the following steps.

Anaconda

1. Create: conda create -n fastsim python=3.10
2. Activate: conda activate fastsim

venv

There is some variation based on your Operating System:

• PowerShell (windows):

  1. Create: python -m venv fastsim-venv -- name is user decision
  2. Activate: fastsim-venv/Scripts/Activate.ps1

• Bash (i.e. unix/linux/mac):

  1. Create: python -m venv fastsim-venv -- name is user decision
  2. Activate: source fastsim-venv/bin/activate

• Command Prompt (windows):

  1. Create: python -m venv fastsim-venv -- name is user decision
  2. Activate: fastsim-venv/Scripts/activate.bat

FASTSim

Via PyPI

In an active Python environment created above, run pip install fastsim.

Building from Scratch

Developers might want to install the code in place so that FASTSim files can be editable (the -e flag for pip provides this behavior). This option can be handy since FASTSim will be installed in place from the installation location and any updates will be propagated each time FASTSim is freshly imported. To do this, you'll need to have the Rust toolchain installed.

• Option 1: run sh build_and_test.sh in root folder.
• Option 2:
  1. Run pip install -e ".[dev]"
     Optional testing steps:
  2. Run cd rust/ && cargo test
  3. Run pytest -v python/fastsim/tests/

Usage

To see and run examples, navigate to ./python/fastsim/demos and run the various *demo.py files to see fastsim use cases. There are other examples in fastsim/tests.

Adding FASTSim as a Dependency in Rust

Via GitHub

Add this line:

fastsim-core = { git = "https://github.com/NREL/fastsim/", branch = "fastsim-2" }

to your Cargo.toml file, modifying the branch key as appropriate.

Via Cargo

FASTSim is available as a Rust crate, which can be added to your dependencies via the following command:

cargo add fastsim-core

List of Abbreviations

cur = current time step
prev = previous time step
cyc = drive cycle
secs = seconds
mps = meters per second
mph = miles per hour
kw = kilowatts, unit of power
kwh = kilowatt-hour, unit of energy
kg = kilograms, unit of mass
max = maximum
min = minimum
avg = average
fs = fuel storage (eg. gasoline/diesel tank, pressurized hydrogen tank)
fc = fuel converter (eg. internal combustion engine, fuel cell)
mc = electric motor/generator and controller
ess = energy storage system (eg. high voltage traction battery)
chg = charging of a component
dis = discharging of a component
lim = limit of a component
regen = associated with regenerative braking
des = desired value
ach = achieved value
in = component input
out = component output

Known Issues

Rust versions of classes have limited Language Server Protocol integration, and we are actively working on fixing this.

Release Notes

2.1.2 -- SerdeAPI revamp with many new functions, various new vehicles, calibration demo, better error propagation, demo testing 2.1.1 -- license changed to Apache 2.0, default cycle grade and road type to zero if not provided, defaults to regenerative braking parameters, optional documentation fields now generated in Rust 2.1.0 -- release and installation improvements, RustVehicle init cleanup, calibration improvements 2.0.11 - 2.0.22 -- PyPI fixes. Also, Rust version is now >100x faster than Python version. 2.0.10 -- logging fixes, proc macro reorganization, some CAVs performance fixes
2.0.9 -- support for mac ARM/RISC architecture
2.0.8 -- performance improvements
2.0.6 -- dist_v2_m fixes and preliminary CAV functionality
2.0.5 -- added to_rust method for cycle
2.0.4 -- exposed veh.set_veh_mass
2.0.3 -- exposed veh.__post_init__
2.0.2 -- provisioned for non-default vehdb path
2.0.1 -- bug fix
2.0.0 -- All second-by-second calculations are now implemented in both rust and python. Rust provides a ~30x speedup
1.3.1 -- fastsim.simdrive.copy_sim_drive function can deepcopy jit to non-jit (and back) for pickling
1.2.6 -- time dilation bug fix for zero speed
1.2.4 -- bug fix changing == to =
1.2.3 -- veh_file can be passed as standalone argument. fcEffType can be anything if fcEffMap is provided, but typing is otherwise enforced.
1.2.2 -- added checks for some conflicting vehicle parameters. Vehicle parameters fcEffType and vehPtType must now be str type.
1.2.1 -- improved time dilation and added test for it
1.1.7 -- get_numba_veh() and get_numba_cyc() can now be called from already jitted objects
1.1.6 -- another bug fix for numba compatibility with corresponding unit test
1.1.5 -- bug fix for numba compatibility of fcPeakEffOverride and mcPeakEffOverride
1.1.4 -- nan bug fix for fcPeakEffOverride and mcPeakEffOverride
1.1.3 -- provisioned for optional load time motor and engine peak overrides
1.1.2 -- made vehicle loading more more robust
1.1.1 -- made vehicle loading more robust
1.1.0 -- separated jitclasses into own module, made vehicle engine and motor efficiency setting more robust
1.0.4 -- bug fix with custom engine curve
1.0.3 -- bug fixes, faster testing
1.0.2 -- forced type np.float64 on vehicle mass attributes
1.0.1 -- Added vehYear attribute to vehicle and other minor changes. 1.0.0 -- Implemented unittest package. Fixed energy audit calculations to be based on achieved speed. Updated this file. Improved documentation. Vehicle can be instantiated as dict. 0.1.5 -- Updated to be compatible with ADOPT 0.1.4 -- Bug fix: mcEffMap is now robust to having zero as first element 0.1.3 -- Bug fix: fastsim.vehicle.Vehicle method set_init_calcs no longer overrides fcEffMap. 0.1.2 -- Fixes os-dependency of xlwings by not running stuff that needs xlwings. Improvements in functional test. Refinment utomated typying of jitclass objects. 0.1.1 -- Now includes label fuel economy and/or battery kW-hr/mi values that match excel and test for benchmarking against Excel values and CPU time.

Contributors

Chad Baker -- Chad.Baker@nrel.gov
Aaron Brooker -- Aaron.Brooker@nrel.gov
Kyle Carow -- Kyle.Carow@nrel.gov
Robin Steuteville -- Robin.Steuteville@nrel.gov
Jeffrey Gonder -- Jeff.Gonder@nrel.gov
Jacob Holden -- Jacob.Holden@nrel.gov
Jinghu Hu -- Jinghu.Hu@nrel.gov
Jason Lustbader -- Jason.Lustbader@nrel.gov
Sean Lopp -- sean@rstudio.com
Matthew Moniot -- Matthew.Moniot@nrel.gov
Grant Payne -- Grant.Payne@nrel.gov
Laurie Ramroth -- lramroth@ford.com
Eric Wood -- Eric.Wood@nrel.gov