Granted Patent B2

US 12,454,196 · App. 18/296,063 · Granted Oct 28, 2025

Inventors: Faisal Altaf (Västra Frölunda, SE); Bassem Farag (Gothenburg, SE); Mark Hirche (Hisings Kärra, SE)

Assignee: VOLVO TRUCK CORPORATION

B60L58/12B60R16/033B60L2260/46

Abstract

Claims (17)

1. A method for improving the availability of an energy storage system in a vehicle, the energy storage system comprising a plurality of battery packs, characterized by the steps of:

acquiring battery pack performance data comprising at least one of the state-of-power, SoP, and the state-of-energy, SoE, for each one of the battery packs in the energy storage system, wherein the acquired SoP and/or SoE for each battery pack comprises an estimated value and associated uncertainty;

processing the battery pack performance data with an estimation model adapted to relate a sum of the uncertainties to a maximum expected uncertainty of an overall SoP and/or SoE of the energy storage system; and

setting a maximum allowed energy storage system charging/discharging load and/or energy storage system operational windows in response to the overall SoP and/or SoE of the energy storage system and corresponding maximum expected uncertainty.

2. The method according to claim 1 , wherein the estimated value and associated uncertainty for the acquired SoP and/or SoE for each battery pack is an output from a statistical model of the corresponding battery pack.

3. The method according to claim 1 , wherein the estimation model is a statistical model, or a machine learning model formed from the battery pack performance data of the battery packs and the energy storage system from the vehicle or from a plurality of vehicles.

4. The method according to claim 1 , wherein the maximum allowed energy storage system charging/discharging load and/or energy storage system operational windows is limited by the maximum available power that can be drawn from the energy storage system during a predetermined upcoming time interval.

5. The method according to claim 1 , wherein the determined maximum allowed energy storage system charging/discharging load and/or energy storage system operational windows is used as input data to electronic propulsion system controllers of the vehicle.

6. The method according to claim 1 , wherein setting the maximum allowed energy storage system charging/discharging load and energy storage system operational windows in response to the maximum expected uncertainty is performed to minimize a sudden at least temporary lack of operability of the energy storage system.

7. The method according to claim 6 , comprising:

identifying a vehicle situation which, in case an at least temporary lack of operability of the energy storage system belong to a predetermined group of vehicle situations defined as hazardous, wherein setting the maximum allowed energy storage system charging/discharging load and energy storage system operational windows in response to the maximum expected uncertainty is performed during such identified vehicle situation.

8. A non-transitory computer readable medium carrying a computer program comprising program code for performing the steps of claim 1 when said computer program is run on a computer.

9. A controlling apparatus for improving the availability of an energy storage system in a vehicle, the controlling apparatus being configured to perform the steps of the method according to claim 1 .

10. A battery management system for an energy storage system in a vehicle, the energy storage system comprising a plurality of battery packs, characterised by:

a hardware-based data acquisition unit comprising one or more sensors and processors configured to acquire battery pack performance data comprising at least one of the state-of-power, SoP, and the state-of-energy, SoE, for each one of the battery packs in the energy storage system, wherein the acquired SoP and/or SoE for each battery pack comprises an estimated value and associated uncertainty; and

a control unit implemented as dedicated electronic circuitry or a microcontroller configured to process the battery pack performance data with an estimation model adapted to relate a sum of the uncertainties to a maximum expected uncertainty of an overall SoP and/or SoE of the energy storage system; and configured to set a maximum allowed energy storage system charging/discharging load and/or energy storage system operational windows in response to the overall SoP and/or SoE of the energy storage system and corresponding maximum expected uncertainty.

11. A vehicle comprising the battery management system according to claim 10 .

Assignments (1)

Priority Claims (1)

Continuity (1)

References Cited (28)