Method for managing a recharging session of a traction battery for an electrified motor vehicle comprising the determination of a target state of charge level controlling the stopping of the recharging session, comprising the following steps: - Recording a quantity of recharged energy during a recharge session, - The configuration of the target state of charge level ( SOCc) as a function of said quantity of recharged energy, characterized in that it further comprises the following steps: - Recording a recharge history from the quantity of energy recharged at each recharge session, - Determination of a cumulative distribution function of the recharge history, - The determination of at least one value of an energy requirement at from the distribution function, - SOCc) level to said value of the energy requirement, the cumulative distribution function being a cumulative probability function modeling the cumulative probability of a quantity of recharged energy from the recharge history, the determination of the value of the energy requirement comprising: - The determination of a first quantity of energy covering a first probability of the distribution function, - The determination of a second quantity of energy covering a second probability of the distribution function greater than the first probability, - The selection of the maximum value between on the one hand the first quantity added to a third predetermined quantity and, on the other hand the second quantity. - Recording a quantity of recharged energy during a recharge session, - The configuration of the target state of charge level ( SOCc) as a function of said quantity of recharged energy, characterized in that it further comprises the following steps: - Recording a recharge history from the quantity of energy recharged at each recharge session, - Determination of a cumulative distribution function of the recharge history, - The determination of at least one value of an energy requirement at from the distribution function, - SOCc) level to said value of the energy requirement, the cumulative distribution function being a cumulative probability function modeling the cumulative probability of a quantity of recharged energy from the recharge history, the determination of the value of the energy requirement comprising: - The determination of a first quantity of energy covering a first probability of the distribution function, - The determination of a second quantity of energy covering a second probability of the distribution function greater than the first probability, - The selection of the maximum value between on the one hand the first quantity added to a third predetermined quantity and, on the other hand the second quantity. - Recording a recharge history from the quantity of energy recharged at each recharge session, - Determination of a cumulative distribution function of the recharge history, - The determination of at least one value of an energy requirement at from the distribution function, - SOCc) level to said value of the energy requirement, the cumulative distribution function being a cumulative probability function modeling the cumulative probability of a quantity of recharged energy from the recharge history, the determination of the value of the energy requirement comprising: energy requirement, the cumulative distribution function being a cumulative probability function modeling the cumulative probability of a quantity of recharged energy from the recharge history, the determination of the value of the energy requirement comprising: - The determination of a first quantity of energy covering a first probability of the distribution function, - The determination of a second quantity of energy covering a second probability of the distribution function greater than the first probability, - The selection of the maximum value between on the one hand the first quantity added to a third predetermined quantity and, on the other hand the second quantity.