The study examines the impact of electric vehicle (EV) charging demand on California's power distribution grid. By combining travel demand models, EV adoption models, and real-world EV charging data, the research finds that by 2045, 67% of feeders will require capacity upgrades, totaling 25 GW, with associated costs between $6 billion and $20 billion. While infrastructure costs increase electricity prices, the growth in total electricity consumption leads to a reduction in electricity rates by $0.01 to $0.06/kWh by 2045. Residential feeders require twice as much upgrade as commercial ones, highlighting the potential to reduce grid stress by shifting home-charging demand. The study also reveals that overloading conditions vary spatially, with residential areas more affected. The research provides a framework for evaluating EV impacts on distribution grids and suggests that shifting charging demand can reduce infrastructure costs. The findings indicate that California's challenges are representative of global EV adoption trends. The study uses high-resolution data to simulate EV charging profiles and assess feeder overloads, showing that home-charging feeders are more stressed than public-charging ones. The timing of overloads varies by charging location, with home-charging feeders experiencing more intense but less frequent overloads, while public-charging feeders have less intense but more frequent overloads. Sensitivity analysis shows that improving EV efficiency or shifting charging locations can reduce infrastructure costs. The study emphasizes the need for regulatory measures to manage grid strain and suggests that demand response mechanisms could help mitigate peak loads. Overall, the research highlights the importance of planning for EV integration to ensure grid reliability and efficiency.The study examines the impact of electric vehicle (EV) charging demand on California's power distribution grid. By combining travel demand models, EV adoption models, and real-world EV charging data, the research finds that by 2045, 67% of feeders will require capacity upgrades, totaling 25 GW, with associated costs between $6 billion and $20 billion. While infrastructure costs increase electricity prices, the growth in total electricity consumption leads to a reduction in electricity rates by $0.01 to $0.06/kWh by 2045. Residential feeders require twice as much upgrade as commercial ones, highlighting the potential to reduce grid stress by shifting home-charging demand. The study also reveals that overloading conditions vary spatially, with residential areas more affected. The research provides a framework for evaluating EV impacts on distribution grids and suggests that shifting charging demand can reduce infrastructure costs. The findings indicate that California's challenges are representative of global EV adoption trends. The study uses high-resolution data to simulate EV charging profiles and assess feeder overloads, showing that home-charging feeders are more stressed than public-charging ones. The timing of overloads varies by charging location, with home-charging feeders experiencing more intense but less frequent overloads, while public-charging feeders have less intense but more frequent overloads. Sensitivity analysis shows that improving EV efficiency or shifting charging locations can reduce infrastructure costs. The study emphasizes the need for regulatory measures to manage grid strain and suggests that demand response mechanisms could help mitigate peak loads. Overall, the research highlights the importance of planning for EV integration to ensure grid reliability and efficiency.