Electric vehicle charging: Model-based control for faster charging and better durability and safety
As electric vehicles become more common, improving the charging experience has become a major priority for both manufacturers and drivers. While investment in fast-charging infrastructure is growing rapidly, the software controlling how batteries charge often remains conservative and unable to fully utilise the capabilities of modern hardware. Model-based battery control is emerging as a solution that could significantly improve charging speed while maintaining battery durability and safety.
The transition to electric mobility is accelerating worldwide, with organisations such as the International Energy Agency forecasting that electric vehicles could reduce global oil consumption by nearly six million barrels per day by the end of the decade. Despite this progress, EV adoption still faces several barriers. Alongside cost concerns, charging convenience remains one of the biggest factors influencing consumer decisions. Studies show that many drivers prioritise charging speed when choosing charging stations or evaluating electric vehicles.
In response, governments and companies are investing heavily in expanding charging infrastructure and deploying high-power charging stations. However, faster hardware alone does not guarantee a better charging experience. Even when powerful chargers are available, the battery management software inside vehicles may limit charging performance because it relies on simplified rules designed primarily to avoid damage to the battery.
Model-based battery control offers a different approach. Instead of using fixed charging limits or static rules, this method relies on detailed mathematical models that simulate the internal behaviour of a battery during charging. These models represent the electrochemical processes taking place inside lithium-ion cells, allowing engineers to estimate internal conditions that cannot be directly measured by sensors.
By understanding what is happening inside the battery in real time, model-based control systems can adjust the charging current dynamically. This allows the charging process to operate closer to the battery’s true performance limits while still maintaining safe operating conditions. When the battery can safely accept higher power, the system increases the charging rate; when risks begin to appear, it reduces the current to protect the cells.
One of the most important risks during fast charging is lithium plating, a process where lithium metal deposits on the battery’s anode rather than being stored safely within it. Lithium plating accelerates battery degradation and can compromise long-term safety. Because this phenomenon occurs inside the battery, it cannot be directly detected with standard sensors. Model-based approaches help estimate when plating conditions may occur and adjust the charging strategy to prevent it.
Another advantage of model-based control is its ability to account for real-world variables such as temperature, battery age and state of charge. These factors strongly influence charging behaviour and interact in complex ways that simplified battery management systems often cannot capture. By modelling these interactions, advanced charging software can optimise performance throughout the battery’s lifetime while maintaining reliability.
Ultimately, improving the EV charging experience requires more than just faster chargers—it also depends on smarter battery management. Model-based control demonstrates how advanced software can unlock better performance from existing battery technology, delivering faster charging without compromising safety or durability. As electric vehicles continue to evolve, this type of intelligent battery management is likely to play an increasingly important role in enabling convenient, reliable and efficient electrified transport.