Method of determining a battery solution for a vehicle
A module-based framework evaluates designs of advanced start stop systems, particularly 12V advanced start stop systems. The framework separates vehicle and battery analysis and uses a power profile to evaluate different designs of the vehicles and batteries. Particularly, the framework can evaluate different battery solutions and compare performances as a function of drive cycles, motor size, and electrical loads. In addition to modeling, actual batteries are tested for the same power inputs for validating performance differences. This framework identifies performance limiting components for determination of the vehicle system component optimization.
1. A method of determining a battery solution for a vehicle, the method comprising:
developing a battery simulation module, the developing includes
selecting a battery control strategy, which includes a battery charging strategy and a battery discharging strategy, and
selecting a battery model;
receiving a battery simulation input generated as an output from a vehicle simulation module, the battery simulation input includes a power profile based on a performance scenario applied to the vehicle simulation module, which has an engine size and an electrical network for the vehicle;
performing the battery simulation including
applying the battery simulation input to the battery simulation model, and
outputting performance characterizations for the battery simulation input;
repeating the steps of developing a battery simulation module and performing the battery simulation with a different battery control strategy, a different battery model, or a different battery control strategy and a different battery model, the repeating the steps resulting in second performance characterizations;
comparing the performance characterizations with the second performance characterizations; and
selecting a battery solution based on the comparison.
2. The method of claim 1 , wherein the battery solution includes a battery chemistry and a battery size.
3. The method of claim 1 , and further comprising:
developing the vehicle simulation module with the performance scenario, the developing includes selecting a vehicle having a theoretically infinite battery;
receiving a driving profile input; and
performing the vehicle simulation including
applying the driving profile input to the vehicle simulation module, and
outputting a power profile.
4. The method of claim 3 , wherein the driving profile input includes a driving profile for an advanced start-stop vehicle.
5. The method of claim 1 , wherein developing the vehicle simulation module includes selecting an electrical network for the vehicle by selecting loads and management for the loads.
6. The method of claim 1 , wherein the battery model includes a battery chemistry, a battery architecture, and a battery parameter.
7. The method of claim 1 , wherein the power profile includes a vehicle state and a power request.
8. The method of claim 1 , wherein the performance characterizations includes a performance characterization selected from the group consisting of fuel economy, charge acceptance, State of Charge (SoC) swing, ampere hour (Ah) throughput, and peak power.
9. A method of determining a battery solution for a class of vehicles, the method comprising:
developing a vehicle simulation module, the developing includes selecting a class of vehicles having a theoretically infinite battery, an engine size, and an electrical network;
receiving a driving profile input;
performing the vehicle simulation including
applying the driving profile input to the vehicle simulation module, and
outputting a power profile being related to the battery simulation input;
developing a battery simulation module, the developing includes
selecting a battery control strategy, which includes a battery charging strategy and battery discharging strategy, and
selecting a battery model;
receiving a battery simulation input generated as the output from the vehicle simulation module, the battery simulation input includes a power profile;
performing the battery simulation including
applying the battery simulation input to the battery simulation model, and
outputting performance characterizations for the battery simulation input;
repeating the steps of developing a battery simulation module and performing the battery simulation with a different battery control strategy, a different battery model, or a different battery control strategy and a different battery model, the repeating the steps resulting in second performance characterizations;
comparing the performance characterizations with the second performance characterizations; and
selecting a battery solution based on the comparison, the battery solution including a battery chemistry and a battery size.
10. The method of claim 9 , wherein the battery model includes a battery chemistry, a battery architecture, and a battery parameter.
11. The method of claim 9 , wherein the performance characterizations includes a performance characterization selected from the group consisting of fuel economy, charge acceptance, State of Charge (SoC) swing, ampere hour (Ah) throughput, and peak power.
12. The method of claim 9 , wherein selecting an electrical network for the class of vehicles includes selecting loads and management for the loads.
13. The method of claim 9 , wherein the driving profile input includes a driving profile for an advanced start-stop vehicle.