Scale at Speed™
English (Global)
French (Canada)
Abstract
As electric vehicle adoption grows worldwide, charging demand is creating increasingly complex electricity consumption patterns. Managing these loads dynamically across locations requires greater intelligence and responsiveness.
In this white paper, we examine how intelligent edge enabled EV charging can help to solve these challenges.
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Key Insights
Edge Intelligence for Smart Charging
Processing the data in proximity to charging station reduces the decision-making delay and contributes to optimized decision making which also enables load balancing, energy optimization and effective fault detection.
Grid-Aware Charging for Scaling EV Network
A massive EV charging process will result in high electricity consumption from grid. Intelligent coordination of the charging loads and grid is the most important aspect for scaling the EV network.
Edge AI for Sustainable Mobility
Integrating AI and edge technologies into the existing charging infrastructure helps to achieve sustainable mobility and transport electrification.
Advancing EV Charging with Edge Intelligence
Tech Mahindra helps operators optimize charging demand, improve grid responsiveness and enhance network reliability through edge intelligence and real-time orchestration.
