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OpenEVFleet

Tools for logistics optimization and simulation of e-mobility fleets.

Provides:

• simulation utilities
• charging schedule optimization

add_synth(csv_file_name, df; kwargs...)

add rows with data given in kwargs to the DataFrame df for csvfilename

algo_ego_bus(aux)

make moteg-like analysis from auxiliary tables, aka "ego, full bus power"

algo_ego_infra(data, aux, analysis)

apply algorithm ego_infra to data using auxiliary tables and analysis settings

algomilpa(analysis, aux, times, CPI; usefullcharging_window=true)

assignment of VH to CP point during interval i: a[i, VHID, CPID] = 0/1

apply_algorithm(data, aux, analysis)

apply algorithm to data using auxiliary tables and analysis settings:

1. compute results
2. save analysis.json
3. return results

check_data_values(data, analysis)

check if obligatory column values exists and have correct type

check_foreign_keys(data)

check for missing foreign keys (IDs)

init_synth(csv_file_name)

create an empty DataFrame for csvfilename

make_analysis(path_project, path_system, file_analysis; analysis_index=0, verbose=true, write_json=true)

Return parsed analysis JSON-file.

make_auxiliary_tables(data, analysis)

make auxiliary tables (dicts and DataFrames) for faster access and check for time consistency w.r.t. trip overlaps

write_synth(csv_file_name, df, path)

write the DataFrame df for csvfilename to path