Sustainable Lifecycle Management for Automotive Development via Multi-Dimensional Circular Design Framework

Zhang, Yongkang; Chen, Jicheng; Teng, Siyu; Zhang, Hui; Wang, Fei-Yue

doi:10.1109/tiv.2023.3319478

Cited by 7 publications

(2 citation statements)

References 28 publications

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“…P batt,disch,max = P nom,wallbox n EV s bidi s batt (8) where s bidi is the binary switch indicating that the EV fleet has a bidirectional charging capability or not and s batt is a user-defined binary switch to choose whether the model has a battery capacity (scenarios 2-7) or not (scenario 1). The charging and discharging power of the battery is limited in each case by the maximum values P batt,ch,max and P batt,disch,max explained above and the respective binary optimization variables s batt,ch and s batt,disch as formulated in Equations ( 9) and (10).…”

Section: Optimization Problem Formulationmentioning

confidence: 99%

“…Due to the immense ramp-up of battery storage technologies, the aspect of sustainability must also be given greater consideration in future product development [8]. Also, the European Parliament and the Council accounts for that in the new Batteries Regulation, adopted in 2023, which should minimize the environmental impact and strengthen the circular economy concerning battery storage appliances.…”

Section: Introductionmentioning

confidence: 99%

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A Case Study of the Use of Smart EV Charging for Peak Shaving in Local Area Grids

Meiers,

Frey

2023

Energies

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Electricity storage systems, whether electric vehicles or stationary battery storage systems, stabilize the electricity supply grid with their flexibility and thus drive the energy transition forward. Grid peak power demand has a high impact on the energy bill for commercial electricity consumers. Using battery storage capacities (EVs or stationary battery systems) can help to reduce these peaks, applying peak shaving. This study aims to address the potential of peak shaving using a PV plant and smart unidirectional and bidirectional charging technology for two fleets of electric vehicles and two comparable configurations of stationary battery storage systems on the university campus of Saarland University in Saarbrücken as a case study. Based on an annual measurement of the grid demand power of all consumers on the campus, a simulation study was carried out to compare the peak shaving potential of seven scenarios. For the sake of simplicity, it was assumed that the vehicles are connected to the charging station during working hours and can be charged and discharged within a user-defined range of state of charge. Furthermore, only the electricity costs were included in the profitability analysis; investment and operating costs were not taken into account. Compared to a reference system without battery storage capacities and a PV plant, the overall result is that the peak-shaving potential and the associated reduction in total electricity costs increases with the exclusive use of a PV system (3.2%) via the inclusion of the EV fleet (up to 3.0% for unidirectional smart charging and 8.1% for bidirectional charging) up to a stationary battery storage system (13.3%).

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Section: Optimization Problem Formulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%