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| Funder | Engineering and Physical Sciences Research Council |
|---|---|
| Recipient Organization | University of Cambridge |
| Country | United Kingdom |
| Start Date | Sep 30, 2024 |
| End Date | Mar 30, 2028 |
| Duration | 1,277 days |
| Number of Grantees | 1 |
| Roles | Student |
| Data Source | UKRI Gateway to Research |
| Grant ID | 2926891 |
The SRF will start a new project concerned with developing, testing, and validating a systematic methodology to quantify energy performance of the traction battery system of electric HGVs, with a focus on understanding the causes of battery degradation during in-service fleet operations and modelling their impacts on logistics efficiency and vehicle total cost of ownership (TCO). The work will include:
1) Instrumenting a battery electric HGV with the 'SRF Logger' described in Section and external sensors to measure vehicle response (route, speed), powertrain response (motor rpm & torque, gear selection), driver behaviour (accelerator/brake/cruise positions), battery performance (SoH, SoC, voltage, current, coolant temperature), and environment (weather, road elevation, traffic) from real-world freight operations;
2) Developing a hardware-in-the-loop (HIL) test rig involving a battery pack for measuring battery pack performance in response to vehicle and battery data measured from 1);
3) Developing, testing, and validating a physics-based, machine-learning-enhanced model of vehicle traction battery system which is capable of quantifying the influence of real-world operational factors on battery performance and health degradation; and
4) Deploying the battery system model developed from 3), combined with a validated vehicle model to evaluate the impacts of various logistics and charging options on battery performance, vehicle operations, and the TCO.
University of Cambridge
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