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The electric vehicle (EV) market is experiencing unprecedented growth worldwide. According to the International Energy Agency (IEA), global EV stock surpassed 40 million units in 2024. Sales are expected to exceed 20 million in 2025, representing over 25% of new car sales globally. India, as of now, has over 5.9 million EVs on the road as of early 2025, with projections estimating over 60 million EVs by 2030.
Looking at this surge, it is calculated that global public charging capacity for light-duty EVs is projected to grow almost 9-fold by 2030. Public charging points worldwide need to increase by approximately 150 million between 2025 and 2030. India’s public charging infrastructure itself needs to expand to nearly 2 million points by 2035, and it shall be able to charge around 25 million EVs. This presents a golden opportunity for Charge Point Operators (CPOs) to scale their networks and capture a rapidly expanding market.
So, how can a CPO have high scalability for their EV charging station, keep operations optimized, costs minimal, and also deliver state-of-the-art customer experience?
The answer is simply toinvest in technology of the EV chargers itself.
Leveraging Advanced EV Charger Technologies for Scalable Growth
Investing in the right technologies can reduce operational expenses, optimize energy use, and improve user experience, enabling CPOs to grow their EV charging business efficiently. Here are some key technologies in this regard:
1. Multiple Smart Charging Profiles Running Concurrently.
1.1 Working Principle
A charging profile defines charging parameters such as power limits, time windows, and priority levels. It can be tailored for vehicle type, battery chemistry, and user preferences. The charger’s embedded controller dynamically applies these profiles, using priority stacking (stack levels) to resolve conflicts. In traditional chargers, when multiple vehicles would attempt to connect to the same charger, the charging profile would apply only one logic or charging profile at a time. This lack of modularity i. But now, Modern EV chargers support multiple charging profiles running concurrently. Impact on Scalability:
- Enables simultaneous charging of multiple vehicles (hatchbacks, sedans, SUV’s) at the same EV charging unit.
- Maximizes charger utilization and throughput.
- Reduces wait times and enhances user satisfaction.
- Supports flexible pricing and demand response strategies.
2. Intelligent Load Management (ILM)
2.1 Working Principle
ILM dynamically allocates available electrical power among multiple EVs charging simultaneously, based on their state of charge (SOC), priority, and grid capacity. The system continuously monitors the power demand and adjusts the current supplied to each charger via power electronics modulation. Some Advanced ILM manuals use predictive analytics to anticipate demand spikes and proactively manage loads. Akin to a smart serving robot , it decides and serves order and assigns priority by continuously accounting for customer volume and wait times.
2.2 Impact on Scalability
- Prevents costly infrastructure upgrades.
- Enables higher charger density within existing grid limits.
- Balances charging speeds fairly and prioritizes urgent needs.
- Supports grid stability and renewable energy integration.
3. Distributed Charging Systems
3.1 Working Principle
Distributed charging systems transform multiple dispersed charging stations into a charging network managed via cloud platforms and standardized protocols like OCPP. Each charger operates semi-autonomously but shares real-time data on usage, faults, and energy consumption with the central system. Local controllers handle immediate decisions while the cloud optimizes network-wide performance. It’s like a restaurant chain. Multiple outlets, with centrally controlled quality and inventory.
3.2 Impact on Scalability
- Simplifies network expansion by seamless addition of new stations.
- Improves reliability through redundancy and fault tolerance.
- Provides real-time operational insights for proactive maintenance.
- Enables coordinated demand response across multiple sites.
4. Battery-Boosted EV Charging with Battery Energy Storage Systems (BESS)
4.1 Working Principle
Lithium-ion Batteries integrated with EV chargers (called a BESS) store electricity during off-peak hours or from renewable sources (solar, wind) and supply it during peak demand. The Battery Management System (BMS) optimizes charge/discharge cycles and ensures safety. An energy management software embedded in the BESS determines when to charge the battery and when to dispatch energy to EV chargers. Think of this as a restaurant with two active supply chains – the inventory never runs out of any ingredients.
4.2 Impact on Scalability
- Reduces peak grid demand and associated upgrade costs.
- Lowers energy costs by avoiding peak tariffs.
- Supports renewable energy use, reducing carbon footprint.
- Provides backup power, enhancing uptime and reliability.
5. Intelligent Remote Monitoring Systems Powered by AI/ML
5.1 Working Principle
Remote monitoring systems collect real-time data on charger health, energy consumption, environmental conditions, and faults. Every component in a modern EV charger has embedded sensors, which feed vital data like temperature, tension and friction to the central repository. AI-ML algorithms follow a smart decision tree and then analyze this data to detect anomalies, predict failures, and optimize maintenance schedules. Predictive Alerts and diagnostics are delivered via cloud dashboards or mobile apps, enabling remote troubleshooting and firmware updates.
5.2 Impact on Scalability
- Minimizes downtime and maintenance costs through predictive maintenance.
- Reduces operational expenses by decreasing site visits.
- Supports scalable operations with centralized management of dispersed chargers.
- Enables data-driven business decisions by providing real-time access to key metrics.
5.2.1 Examples of key business metrics include:
- Utilization Rate: Percentage of time chargers are actively used.
- Charging Speed: Average power delivered per session.
- Energy Delivered: Total kWh dispensed, correlating with revenue.
- Charger Downtime and Uptime: Measures of reliability and availability.
- Revenue per Session and Cost per kWh: Financial performance indicators.
- Session Duration: Insights into user behavior and turnover. 
These metrics allow CPOs to optimize pricing, improve utilization, and enhance customer satisfaction, directly impacting profitability and scalability.
Conclusion
The rapid growth of the EV market in India and globally, creates a unique and tremendous opportunity for CPOs. By embracing technological innovations in EV chargers, CPOs can overcome traditional cost concerns, optimize operations, and deliver superior experiences to EV drivers, all the while securing their leadership in India’s EV mobility future.
Here is our range of charging solutions for businesses.
