The Role of Traction Batteries in Determining EV Range
At the heart of every electric vehicle lies the traction battery, a critical component that determines its driving range, performance, and overall efficiency. As EV adoption
At the heart of every electric vehicle lies the traction battery, a critical component that determines its driving range, performance, and overall efficiency. As EV adoption
1. Introduction Electric vehicles (EVs) represent a transformative shift in transportation, primarily powered by electrical energy stored in battery packs. This energy is
Electric vehicle (EV) driving range prediction is crucial for enhancing EV adoption and mitigating range anxiety among drivers. Despite advancements in battery technology,
Design of the Electric Vehicle (EV) battery pack involves different requirements related to the driving range, acceleration, fast-charging, lifetime,
Thus, the vehicle future driving energy consumption and remaining driving range can be predicted. From the simulation, the proposed predictive estimation method achieves higher
The accuracy of displayed remaining mileage estimation on a pure electric vehicle is very important, and the performance of accurate estimation directly affects the driver''s
Electric vehicles require careful management of their batteries and energy systems to increase their driving range while operating safely. This Review describes the technologies
By providing range data, driver confidence is enhanced, and it helps in evaluating and optimizing energy consumption for more efficient driving, reducing reliance on
Electric vehicle driving range drops by 25–40% at temperatures below 5 °C as chemical reactions in the battery become sluggish. Improving cold-weather performance often
Remaining driving range (RDR) research has continued to consistently evolve with the development of electric vehicles (EVs). Accurate RDR prediction is a promising approach
With the standard specified installation space for the High-voltage (HV) battery, the volumetric energy density is shown in relation to the power density. In Figure 1, this diagram is
PDF version includes complete article with source references. Suitable for printing and offline reading.
Battery capacity directly impacts range: higher capacity equals longer range, but it also increases vehicle weight, which raises energy consumption and partially offsets the range advantage. For example, in a rapid acceleration test, a 1500 kg vehicle consumes 4% more energy than a 1000 kg vehicle.
Finally, a driving range prediction method based on vehicle-cloud collaboration is proposed, which combines the advantages of cloud computing and machine learning to provide new ideas for follow-up research. The battery energy density is the primary intrinsic factor affecting the driving range, determined by battery type.
The energy storage capacity and efficiency of batteries directly influence EV driving range, which remains a primary concern for consumers (Zhang et al., 2018). The accurate prediction of driving range depends on two fundamental elements: energy consumption rate and remaining battery capacity (Zhao et al., 2020).
Therefore, it can be inferred that the remaining capacity of the battery has a high degree of influence on the driving range. Although driving behavior factors such as speed, driving force, braking force, accelerator pedal travel value, and brake pedal status are not dominant individually, their collective contribution is significant.