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October 12, 2025Open Access

Integrated charging scheduling for electric buses with time-of-use tariffs, peak power, V2G, battery ageing, and renewables

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Authors

LCLouise Caustur PHPenelope Hertoghe TMTai-Yu Ma

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Overview

This research demonstrates a novel model minimizing operational costs in electric bus fleets, suggesting significant savings with effective energy management.

Key Points

Daily costs are reduced by 5% through demand charge management, showcasing cost-effective strategies for electric bus operations.
Incorporating photovoltaic (PV) generation and energy storage systems (ESS) leads to net cost reductions of up to 56%, enhancing energy efficiency.
The mixed-integer linear programming (MILP) model effectively manages electricity tariffs and peak power costs for electric bus networks.
V2G participation, influenced by battery degradation costs and tariffs, has the potential to optimize costs significantly for public transport operators.

Cite This Study

Caustur et al. (2025) studied this question.

synapsesocial.com/papers/68ebffcfdef9fcb308ff2587 https://doi.org/10.48550/arxiv.2509.05940

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October 12, 2025Open Access

Integrated charging scheduling for electric buses with time-of-use tariffs, peak power, V2G, battery ageing, and renewables

View Full Paper

Ask AI

Bookmark

Authors

LCLouise Caustur PHPenelope Hertoghe TMTai-Yu Ma

Discussion

Member takes

Overview

This research demonstrates a novel model minimizing operational costs in electric bus fleets, suggesting significant savings with effective energy management.

Key Points

Daily costs are reduced by 5% through demand charge management, showcasing cost-effective strategies for electric bus operations.
Incorporating photovoltaic (PV) generation and energy storage systems (ESS) leads to net cost reductions of up to 56%, enhancing energy efficiency.
The mixed-integer linear programming (MILP) model effectively manages electricity tariffs and peak power costs for electric bus networks.
V2G participation, influenced by battery degradation costs and tariffs, has the potential to optimize costs significantly for public transport operators.

Cite This Study

Caustur et al. (2025) studied this question.

synapsesocial.com/papers/68ebffcfdef9fcb308ff2587 https://doi.org/10.48550/arxiv.2509.05940

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