CHARGING & INFRASTRUCTURE
CHARGING & INFRASTRUCTURE
“ Energy management solutions , such as those developed by gridX , help on both fronts : on the installation side , dynamic load management eliminates the need for costly and time-consuming grid extensions ; and on the operational side , holistic optimisation of energy flows better balances supply and demand to shave peak charging loads and reduce energy costs .”
On both sides de la Gournerie mentions , artificial intelligence ( AI ) enabled systems are leveraged more to support each outcome , which comes as no surprise as fleet operators like Amazon are already using energy management systems to optimise consumption , but also charging times — to meet strict delivery schedules .
The AI solution takes care of both layers of EV charging challenges . “ On the operational side , AI can predict EV ’ s future energy requirements by automatically incorporating user habits to prioritise charging points and
“ ONLY BY TAKING INCREASINGLY COMPLEX REQUIREMENTS INTO ACCOUNT THROUGH SMART , HOLISTIC ENERGY MANAGEMENT CAN EV CHARGING BECOME MORE SUSTAINABLE , RELIABLE , AND COST-EFFICIENT ”
RONAN DE LA GOURNERIE , SENIOR ACCOUNT EXECUTIVE , GRIDX optimise energy usage at commercial sites ,” says de la Gournerie as he explains the pros to AI integration .
“ From a maintenance perspective , AI allows predictive maintenance to reduce the downtime of devices . By maximising utilisation of charging points and making full use of electrical capacity , businesses can minimise costs for both infrastructure and energy .”
We can also see where AI promotes longevity as well , with charging equipment maintained for prolonged use . Much like their fuel station counterparts , charging stations should be able to withstand
EVMAGAZINE . COM [ Feb 2023 ] 49