VEHRON: A Configuration-Driven BEV Simulation Framework for Subsystem-Level Studies
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arXiv
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| Formato: | Preprint |
| Publicado: |
2026
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| _version_ | 1866918470241746944 |
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| author | Natarajan, Subramanyam |
| author_facet | Natarajan, Subramanyam |
| contents | In practical early-stage battery-electric vehicle studies, analysis workflows may become fragmented across spreadsheets, notebooks, and project-specific scripts, making reuse, audit, and extension harder. VEHRON is an open-source Python framework for a deterministic, traceable workflow built around prescribed-speed longitudinal simulation of battery-electric vehicles using validated YAML configuration, packaged drive-cycle resources, interchangeable subsystem models, and auditable case outputs. VEHRON currently runs as a command-line workflow in which a vehicle definition and a testcase definition are combined to execute a simulation, emit a flat time series, and write a case package containing copied inputs, resolved configuration, summary metadata, and standard plots. Architecturally, VEHRON is organized around a small simulation engine, a shared state bus, a registry of model selections, schema-based configuration loading, and extension points for custom battery and HVAC models loaded from external Python files. VEHRON currently focuses on battery-electric longitudinal simulation with low-order battery, thermal, auxiliary-load, and HVAC models. This paper explains how VEHRON is structured, how it is used, which models it implements, and where its present limits lie. Source code is available at https://github.com/vehron-dev/vehron, with archived release metadata recorded under DOI https://doi.org/10.5281/zenodo.19820111. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2604_24726 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | VEHRON: A Configuration-Driven BEV Simulation Framework for Subsystem-Level Studies Natarajan, Subramanyam Computational Engineering, Finance, and Science Systems and Control In practical early-stage battery-electric vehicle studies, analysis workflows may become fragmented across spreadsheets, notebooks, and project-specific scripts, making reuse, audit, and extension harder. VEHRON is an open-source Python framework for a deterministic, traceable workflow built around prescribed-speed longitudinal simulation of battery-electric vehicles using validated YAML configuration, packaged drive-cycle resources, interchangeable subsystem models, and auditable case outputs. VEHRON currently runs as a command-line workflow in which a vehicle definition and a testcase definition are combined to execute a simulation, emit a flat time series, and write a case package containing copied inputs, resolved configuration, summary metadata, and standard plots. Architecturally, VEHRON is organized around a small simulation engine, a shared state bus, a registry of model selections, schema-based configuration loading, and extension points for custom battery and HVAC models loaded from external Python files. VEHRON currently focuses on battery-electric longitudinal simulation with low-order battery, thermal, auxiliary-load, and HVAC models. This paper explains how VEHRON is structured, how it is used, which models it implements, and where its present limits lie. Source code is available at https://github.com/vehron-dev/vehron, with archived release metadata recorded under DOI https://doi.org/10.5281/zenodo.19820111. |
| title | VEHRON: A Configuration-Driven BEV Simulation Framework for Subsystem-Level Studies |
| topic | Computational Engineering, Finance, and Science Systems and Control |
| url | https://arxiv.org/abs/2604.24726 |