US 12,188,985 B2
Battery management system for an electric air vehicle
Johannes Kurtz, Grosskarolinenfeld (DE); Bartlomiej Bronski, Innings at Lake Ammer (DE); Pedro Manuel De La Camara Cruz, Mindelheim (DE); and Julian Carl, Munich (DE)
Assigned to Lilium eAircraft GmbH, Wessling (DE)
Filed by Lilium eAircraft GmbH, Wessling (DE)
Filed on Feb. 18, 2022, as Appl. No. 17/651,734.
Application 17/651,734 is a continuation of application No. PCT/EP2022/051970, filed on Jan. 28, 2022.
Claims priority of application No. 211580956 (EP), filed on Feb. 19, 2021.
Prior Publication US 2022/0299569 A1, Sep. 22, 2022
Int. Cl. G01R 31/367 (2019.01); B60L 58/16 (2019.01); B64C 29/00 (2006.01); B64D 43/00 (2006.01); G01R 31/3842 (2019.01); G01R 31/392 (2019.01); H02J 7/00 (2006.01)
CPC G01R 31/367 (2019.01) [B64C 29/00 (2013.01); B64D 43/00 (2013.01); G01R 31/3842 (2019.01); G01R 31/392 (2019.01); H02J 7/0013 (2013.01); H02J 7/0048 (2020.01); H02J 7/005 (2020.01); B60L 58/16 (2019.02); B60L 2200/10 (2013.01); H02J 2310/44 (2020.01)] 21 Claims
OG exemplary drawing
 
1. A battery management system for an electric air vehicle, the battery management system being adapted for battery cell state monitoring, health parameter monitoring and battery state prediction of a battery system forming an energy storage system of the electric air vehicle, the battery management system comprising:
two independent and dissimilar lanes for battery cell state and health parameter determination and the battery state prediction, each of the two independent and dissimilar lanes including:
battery cell measurement equipment for obtaining battery cell measurement data of each of a plurality of battery cells constituting the battery system; and
battery state and battery health parameter determination equipment adapted to calculate a battery cell state and at least one health parameter based on the battery cell measurement data obtained by the battery cell measurement equipment of a respective lane by using dissimilar algorithms, respectively, the battery management system further comprising:
first lane battery state prediction equipment being adapted to perform a battery state prediction predicting a battery cell state evolution with regard to a pre-defined flight profile that is pre-stored and fixed for the electric air vehicle; and
second lane battery state prediction equipment being adapted to perform a battery state prediction predicting a battery cell state evolution with regard to a planned flight profile of a currently planned flight.