Abstract: A method is performed by a digital twin for modelling connectivity of a heavy-duty vehicle. The digital twin comprises a digital model of the heavy-duty vehicle. The digital twin is configured to access another digital model of one or more communication networks in which the heavy-duty vehicle is expected to operate. The digital twin models an expected degree of connectivity of the heavy-duty vehicle to at least one of the one or more communication networks. The modelling is in dependence of at least one of: a vehicle state and vehicle connectivity system(s) onboard the heavy-duty vehicle.

Abstract: A method in a first vehicle for determining a load of the first vehicle includes obtaining, from one or more sensors arranged in or at the first vehicle, an internal value of the load and an associated accuracy of the load; obtaining, from an external source, an external value and an associated accuracy of the load; and determining, based on a comparison of the respective accuracies, the load to be the internal value, the external value or a combination thereof. A method in a second vehicle for facilitating a determination of a load of a first vehicle comprises: obtaining, from one or more sensors arranged in or at the second vehicle, an internal value of the load of the first vehicle and an associated accuracy; and sharing the internal value and the associated accuracy with the first vehicle.

Abstract: A digital twin for a heavy-duty vehicle is provided. The digital twin comprises a digital model of the heavy-duty vehicle. The digital twin comprises one or more interfaces. Each interface is arranged to connect to a replaceable digital module associated with an auxiliary device of the heavy-duty vehicle.

Abstract: A digital twin for determines an influence on an expected performance of a heavy-duty vehicle by enabling one or more add-on features. The digital twin includes a digital model of the heavy-duty vehicle. The digital twin is configured to model at least one of: an operating environment of the heavy-duty vehicle and a transport mission of the heavy-duty vehicle. The digital twin is configured to model an as-is performance and an expected performance of the heavy-duty vehicle in at least one of: the operating environment and in executing the transport mission. The digital twin is configured to compare the as-is performance and the expected performance to determine the influence on the expected performance of the heavy-duty vehicle by enabling the one or more add-on features.

Abstract: The invention relates to a method of acquiring information of an accessory connected to a vehicle. The method comprises, in a control unit of the vehicle, acquiring an accessory identifier from the accessory. The method further comprises transmitting the accessory identifier to a remote server comprising accessory information, matching, in the server, the accessory identifier with corresponding accessory information, transmitting the accessory information to the vehicle and receiving the accessory information in the control unit.