{"id":3411,"date":"2023-04-22T20:48:07","date_gmt":"2023-04-22T15:18:07","guid":{"rendered":"https:\/\/evjoints.com\/ev-guide\/?p=3411"},"modified":"2024-01-12T22:17:23","modified_gmt":"2024-01-12T16:47:23","slug":"artificial-intelligence-charging-up-the-electric-vehicle-revolution","status":"publish","type":"post","link":"https:\/\/evjoints.com\/ev-guide\/artificial-intelligence-charging-up-the-electric-vehicle-revolution\/","title":{"rendered":"Artificial Intelligence: Charging-Up The Electric Vehicle Revolution"},"content":{"rendered":"

Artificial Intelligence (AI) is the science of getting machines to think & take decisions like human beings do. AI requires algorithms that learn from human actions & habits without the need of manual programming. Then there is Machine Learning (ML), which is a subset of AI and uses algorithms to learn and improve performance.<\/span><\/p>\n

\"AI<\/p>\n

Artificial Intelligence holds vital importance in improving electric vehicles and making the EV charging process efficient.<\/span><\/p>\n

AI & EV Battery:<\/b><\/p>\n

AI is being utilised in battery research to improve battery performance, battery pack management & energy management. Early detection of faults in a battery cell or module ensures the driver\u2019s safety and EV longevity.<\/span><\/p>\n

Safety, dependability & economic feasibility of EVs are vital for their mass adoption. Companies are significantly improving these through the implementation of AI. It helps dive deep into EV battery life cycle management. Machine Learning uses predictive intelligence to identify potential battery deterioration signs and their causes. The system gathers and monitors large amounts of data on battery life, performance, state of charge (SoC), stress from erratic acceleration & sudden braking, temperature, number of charging cycles, etc.<\/span><\/p>\n

\"AI<\/p>\n

AI & EV Charging:<\/b><\/p>\n

EV charging comes with its own set of challenges in the form of unexpected peak load & voltage fluctuations. For the EV charging network to function seamlessly within the energy limitations of the local grid, it needs to balance EV charging demand and available load supply. Hence, it is important to predict the energy needs and charging demands of charging stations and to use the available resources efficiently. So far, AI has been doing it successfully in western countries.<\/span><\/p>\n

In the case of renewable energy-fed EV charging, AI has proven helpful in ensuring smooth power distribution taking into account renewable energy intermittency (especially solar power).<\/span><\/p>\n

Apart from this, AI is also being used by EV charging companies for charging station site selection, congestion check & definitive energy scheduling. Netherlands-based ElaadNL, provides optimally placed charging spots throughout the country and promotes the use of data analytics, including the use of Machine Learning, to plan for EV charging infrastructure.<\/span><\/p>\n

\"AI<\/p>\n

AI & Indian EV Players:<\/b><\/p>\n