Discrete Stochastic Control for Energy Management With Photovoltaic Electric Vehicle Charging Station
Open accessAbstract
This paper develops an intelligent energy management system for optimal operation of grid connected solar powered electric vehicle (EV) charging station at workplace. The optimal operation is achieved by controlling the power flow between the photovoltaic (PV) system, energy storage unit, EV charging station (EVCS) and the grid. The proposed controller is developed considering the PV availability, grid loading and the EV charging load data. This information is modelled using Markov decision process (MDP) to develop a control strategy that eliminates the conventional problem of immediate recharging of energy storage unit after each EV charging by setting a target state of charge (SOC) level. This maximizes the use of PV power for EV charging and minimizes the impact on the grid. To test the operation of the proposed controller, a charging station powered by a 5 kW PV system with 35 kW energy storage unit connected to grid is developed through numerical simulations and experiment. The experiments were carried out for three different conditions under varying irradiance profile and load profile for multiple days. The results estimated the EV load and PV power and optimized the energy storage unit SOC between 0.3-1. Further, the energy management strategy minimized the impact of energy exchange between the grid and charging station by a factor of 2.
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Most commercial electric vehicles use the conductive charging method.
“Most of the commercial EVs use the conductive charging method [33].”
From On-Board Chargers for Electric Vehicles: A Comprehensive Performance and Efficiency Review (2024) · cites this paper as [33]
The Introduction discusses charging requirements and photovoltaic-powered EV charging stations, but not whether commercial EVs use conductive charging. Searches for conductive, inductive, wireless, and plug-in charging found no passage addressing how prevalent conductive charging is among commercial EVs. The indexed passages provide no page numbers. (LLM, conf=0.73)
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Kumar, M., Panda, K. P., Naayagi, R. T., Thakur, R., & Panda, G. (2023) · Applied Sciences · doi:10.3390/app13158919 · Cited by 221 · see citing works
On-Board Chargers for Electric Vehicles: A Comprehensive Performance and Efficiency Review
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“Most of the commercial EVs use the conductive charging method [33].”
- Authors
- Jamia Millia Islamia (A Central University), & Mateen, S.
- Affiliations
- Jamia Millia Islamia (IN)
- Corresponding author
- Mateen, Suwaiba
- ORCID
- Mateen, Suwaiba
- Venue
- CPSS Transactions on Power Electronics and Applications
- Publisher
- China Power Supply Society
- Published
- 2022-06-30
- Volume
- 7
- Issue
- 2
- Pages
- 216-225
- ISSN
- 2475-742X (ISSN-L)
- OpenAlex
- W4283744231
- Cited by
- 42
- References
- 32
- Citations by year
- 2026: 10 · 2025: 13 · 2024: 9 · 2023: 8 · 2022: 2
- FWCI
- 2.19
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Locations
- CPSS Transactions on Power Electronics and Applications (publishedVersion)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Vehicles and Infrastructure
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Smart Grid Energy Management
- Physical Sciences › Energy › Energy Engineering and Power Technology › Power Systems and Renewable Energy
- Keywords
- energy management systems, electric vehicle charging stations, photovoltaic power, energy storage, Markov decision process, state of charge, grid-connected solar power, electricity profile, irradiance profile
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