SAE International A Statistical Analysis of Electrical Power Requirements in Vehicles 2015-01-0243

Description
The increasing power and safety requirements of electrical systems present a challenge for future automotive electrical networks. However, the modeling of use-profiles and the overall power consumption of electrical systems proves to be difficult as the number of potential on/off combinations of the loads is tremendous. Furthermore, the operation of some loads is correlated or depends upon the operating conditions. Thus, simple worst-case calculations applied to this complexity often lead to an over-specification of components. The proposed approach is based on the probabilities of loads being in the on-state and their respective interdependencies with each other and with boundary conditions such as time of day. Applying basic statistics and a new iterative algorithm, it allows the calculation of the probability of consumed total power for a given set of boundary conditions and of, very importantly, its expected continuous period. Such information is a sound base for the identification of critical power situations, the layout of components, and for investigations of the power balance. The paper presents the theory, method, database, results, and a first application example, followed by a discussion of future potentials.
Description
The increasing power and safety requirements of electrical systems present a challenge for future automotive electrical networks. However, the modeling of use-profiles and the overall power consumption of electrical systems proves to be difficult as the number of potential on/off combinations of the loads is tremendous. Furthermore, the operation of some loads is correlated or depends upon the operating conditions. Thus, simple worst-case calculations applied to this complexity often lead to an over-specification of components. The proposed approach is based on the probabilities of loads being in the on-state and their respective interdependencies with each other and with boundary conditions such as time of day. Applying basic statistics and a new iterative algorithm, it allows the calculation of the probability of consumed total power for a given set of boundary conditions and of, very importantly, its expected continuous period. Such information is a sound base for the identification of critical power situations, the layout of components, and for investigations of the power balance. The paper presents the theory, method, database, results, and a first application example, followed by a discussion of future potentials.

Suppliers

Company
Product
Description
Supplier Links
A Statistical Analysis of Electrical Power Requirements in Vehicles - 2015-01-0243 - SAE International
Warrendale, PA, United States
A Statistical Analysis of Electrical Power Requirements in Vehicles
2015-01-0243
A Statistical Analysis of Electrical Power Requirements in Vehicles 2015-01-0243
The increasing power and safety requirements of electrical systems present a challenge for future automotive electrical networks. However, the modeling of use-profiles and the overall power consumption of electrical systems proves to be difficult as the number of potential on/off combinations of the loads is tremendous. Furthermore, the operation of some loads is correlated or depends upon the operating conditions. Thus, simple worst-case calculations applied to this complexity often lead to an over-specification of components. The proposed approach is based on the probabilities of loads being in the on-state and their respective interdependencies with each other and with boundary conditions such as time of day. Applying basic statistics and a new iterative algorithm, it allows the calculation of the probability of consumed total power for a given set of boundary conditions and of, very importantly, its expected continuous period. Such information is a sound base for the identification of critical power situations, the layout of components, and for investigations of the power balance. The paper presents the theory, method, database, results, and a first application example, followed by a discussion of future potentials.

The increasing power and safety requirements of electrical systems present a challenge for future automotive electrical networks. However, the modeling of use-profiles and the overall power consumption of electrical systems proves to be difficult as the number of potential on/off combinations of the loads is tremendous. Furthermore, the operation of some loads is correlated or depends upon the operating conditions. Thus, simple worst-case calculations applied to this complexity often lead to an over-specification of components. The proposed approach is based on the probabilities of loads being in the on-state and their respective interdependencies with each other and with boundary conditions such as time of day. Applying basic statistics and a new iterative algorithm, it allows the calculation of the probability of consumed total power for a given set of boundary conditions and of, very importantly, its expected continuous period. Such information is a sound base for the identification of critical power situations, the layout of components, and for investigations of the power balance. The paper presents the theory, method, database, results, and a first application example, followed by a discussion of future potentials.

Supplier's Site

Technical Specifications

  SAE International
Product Category Standards and Technical Documents
Product Number 2015-01-0243
Product Name A Statistical Analysis of Electrical Power Requirements in Vehicles
Unlock Full Specs
to access all available technical data

Similar Products